A long-term analysis of pumped hydro storage to firm wind power

Although pumped hydro storage is seen as a strategic key asset by grid operators, financing it is complicated in new liberalised markets. It could be argued that the optimum generation portfolio is now determined by the economic viability of generators based on a short to medium term return on investment. This has meant that capital intensive projects such as pumped hydro storage are less attractive for wholesale electricity companies because the payback periods are too long. In tandem a significant amount of wind power has entered the generation mix, which has resulted in operating and planning integration issues due to wind's inherent uncertain, varying spatial and temporal nature. These integration issues can be overcome using fast acting gas peaking plant or energy storage. Most analysis of wind power integration using storage to date has used stochastic optimisation for power system balancing or arbitrage modelling to examine techno-economic viability. In this research a deterministic dynamic programming long term generation expansion model is employed to optimise the generation mix, total system costs and total carbon dioxide emissions, and unlike other studies calculates reserve to firm wind power. The key finding of this study is that the incentive to build capital-intensive pumped hydro storage to firm wind power is limited unless exogenous market costs come very strongly into play. Furthermore it was demonstrated that reserve increases with increasing wind power showing the importance of ancillary services in future power systems. © 2014 Elsevier Ltd. All rights reserved.

Historical data reveal power-law dispersal patterns of invasive aquatic species

Understanding how invasive species spread is of particular concern in the current era of globalisation and rapid environmental change. The occurrence of super-diffusive movements within the context of Lévy flights has been discussed with respect to particle physics, human movements, microzooplankton, disease spread in global epidemiology and animal foraging behaviour. Super-diffusive movements provide a theoretical explanation for the rapid spread of organisms and disease, but their applicability to empirical data on the historic spread of organisms has rarely been tested. This study focuses on the role of long-distance dispersal in the invasion dynamics of aquatic invasive species across three contrasting areas and spatial scales: open ocean (north-east Atlantic), enclosed sea (Mediterranean) and an island environment (Ireland). Study species included five freshwater plant species, Azolla filiculoides, Elodea canadensis, Lagarosiphon major, Elodea nuttallii and Lemna minuta; and ten species of marine algae, Asparagopsis armata, Antithamnionella elegans, Antithamnionella ternifolia, Codium fragile, Colpomenia peregrina, Caulerpa taxifolia, Dasysiphonia sp., Sargassum muticum, Undaria pinnatifida and Womersleyella setacea. A simulation model is constructed to show the validity of using historical data to reconstruct dispersal kernels. Lévy movement patterns similar to those previously observed in humans and wild animals are evident in the re-constructed dispersal pattern of invasive aquatic species. Such patterns may be widespread among invasive species and could be exacerbated by further development of trade networks, human travel and environmental change. These findings have implications for our ability to predict and manage future invasions, and improve our understanding of the potential for spread of organisms including infectious diseases, plant pests and genetically modified organisms.

Computational scheduling methods for integrating plug-in electric vehicles with power systems: a review

Traditional internal combustion engine vehicles are a major contributor to global greenhouse gas emissions and other air pollutants, such as particulate matter and nitrogen oxides. If the tail pipe point emissions could be managed centrally without reducing the commercial and personal user functionalities, then one of the most attractive solutions for achieving a significant reduction of emissions in the transport sector would be the mass deployment of electric vehicles. Though electric vehicle sales are still hindered by battery performance, cost and a few other technological bottlenecks, focused commercialisation and support from government policies are encouraging large scale electric vehicle adoptions. The mass proliferation of plug-in electric vehicles is likely to bring a significant additional electric load onto the grid creating a highly complex operational problem for power system operators. Electric vehicle batteries also have the ability to act as energy storage points on the distribution system. This double charge and storage impact of many uncontrollable small kW loads, as consumers will want maximum flexibility, on a distribution system which was originally not designed for such operations has the potential to be detrimental to grid balancing. Intelligent scheduling methods if established correctly could smoothly integrate electric vehicles onto the grid. Intelligent scheduling methods will help to avoid cycling of large combustion plants, using expensive fossil fuel peaking plant, match renewable generation to electric vehicle charging and not overload the distribution system causing a reduction in power quality. In this paper, a state-of-the-art review of scheduling methods to integrate plug-in electric vehicles are reviewed, examined and categorised based on their computational techniques. Thus, in addition to various existing approaches covering analytical scheduling, conventional optimisation methods (e.g. linear, non-linear mixed integer programming and dynamic programming), and game theory, meta-heuristic algorithms including genetic algorithm and particle swarm optimisation, are all comprehensively surveyed, offering a systematic reference for grid scheduling considering intelligent electric vehicle integration.

The importance of gas infrastructure in power systems with high wind power penetrations

Gas fired generation currently plays an integral support role ensuring security of supply in power systems with high wind power penetrations due to its technical and economic attributes. However, the increase in variable wind power has affected the gas generation output profile and is pushing the boundaries of the design and operating envelope of gas infrastructure. This paper investigates the mutual dependence and interaction between electricity generation and gas systems through the first comprehensive joined-up, multi-vector energy system analysis for Ireland. Key findings reveal the high vulnerability of the Irish power system to outages on the Irish gas system. It has been shown that the economic operation of the power system can be severely impacted by gas infrastructure outages, resulting in an average system marginal price of up to €167/MWh from €67/MWh in the base case. It has also been shown that gas infrastructure outages pose problems for the location of power system reserve provision, with a 150% increase in provision across a power system transmission bottleneck. Wind forecast error was shown to be a significant cause for concern, resulting in large swings in gas demand requiring key gas infrastructure to operate at close to 100% capacity. These findings are thought to increase in prominence as the installation of wind capacity increases towards 2020, placing further stress on both power and gas systems to maintain security of supply.

Fractal species distributions do not produce power-law species-area relationships

We derive the species-area relationship (SAR) expected from an assemblage of fractally distributed species. If species have truly fractal spatial distributions with different fractal dimensions, we show that the expected SAR is not the classical power-law function, as suggested recently in the literature. This analytically derived SAR has a distinctive shape that is not commonly observed in nature: upward-accelerating richness with increasing area (when plotted on log-log axes). This suggests that, in reality, most species depart from true fractal spatial structure. We demonstrate the fitting of a fractal SAR using two plant assemblages (Alaskan trees and British grasses). We show that in both cases, when modelled as fractal patterns, the modelled SAR departs from the observed SAR in the same way, in accord with the theory developed here. The challenge is to identify how species depart from fractality, either individually or within assemblages, and more importantly to suggest reasons why species distributions are not self-similar and what, if anything, this can tell us about the spatial processes involved in their generation.

Implementation of a cogeneration plant for a food processing facility. A case study

The present work presents an investigation regarding the feasibility analysis of a cogeneration plant for a food processing facility with the aim to decrease the cost of energy supply. The monthly electricity and heat consumption profiles are analyzed, in order to understand the consumption profiles, as well as the costs of the current furniture of electricity and gas. Then, a detailed thermodynamic model of the cogeneration cycle is implemented and the investment costs are linked to the thermodynamic variables by means of cost functions. The optimal electricity power of the co-generator is determined with reference to various investment indexes. The analysis highlights that the optimal dimension varies according to the chosen indicator, therefore it is not possible to establish it univocally, but it depends on the financial/economic strategy of the company through the considered investment index.

Antioxidant activities of eight Algerian plant extracts and two essential oils

Total phenol, hydroxycinnamic acid derivatives, flavone/flavonol and flavanones/dihydroflavonol contents of hydro-alcoholic extracts, obtained by sonication, from the aerial parts of Artemisia campestris L., Anthemis arvensis L., Haloxylon scoparium Pomel, Juniperus phoenicea L., Arbutus unedo L., Cytisus monspessulanus L., Thymus algeriensis Boiss et Reut, Zizyphus lotus L (Desf.) collected in Djebel Amour (Sahara Atlas, Algeria) were quantified by spectrophotometric methods. The chemical composition of the essential oils obtained by hydrodistillation from Artemisia campestris L. and Juniperus phoenicea I aerial parts were also evaluated by gas chromatography (GC) and gas chromatography coupled to mass spectrometry (GC-MS). The antioxidant activity of the extracts and essential oils was assessed measuring the capacity for preventing lipid peroxidation using two lipidic substrates (egg yolk and liposomes), the capacity for scavenging DPPH, ABTS, superoxide anion radicals, hydroxyl radicals and peroxyl radicals. Anti-inflammatory activity was assessed by measuring the capacity for inhibiting lipoxygenase. Reducing power and chelating capacity were also assayed. The results showed different amounts of total phenols depending on the method used: A. campestris extract had the highest levels of total phenols when the measurement was made at lambda = 280 nm, whereas H. scoparium and A. unedo extracts showed the highest levels of total phenols with Folin-Ciocalteau. C. monspessulanus had the highest levels of flavones/flavonols and flavanones/dihydroflavonols. The essential oils of A. campestris and J. phoenicea were mainly constituted by alpha-pinene, beta-pinene and sabinene; and a-pinene, respectively. The methods used for assaying the capacity for preventing lipid peroxidation revealed to be inadequate for extracts due to the great interferences detected. The essential oils were more active than the generality of extracts for scavenging peroxyl radicals and for inhibiting lipoxygenase, whereas A. unedo extract was the most active for scavenging ABTS, DPPH, superoxide anion radicals and it also had the best reducing capacity. In a general way, the great majority of the antioxidant activities correlated well with the phenol content although such correlation was not so clear with the flavonoid content. (c) 2013 Elsevier B.V. All rights reserved.

Power to Gas - sähköenergiasta luonnonkaasua, liiketoimintamahdollisuudet Suomessa

Uusiutuvan sähköntuotannon osuuden kasvaessa kasvaa tarve tasata sähköntuotannon ja kulutuksen vaihteluita varastoimalla sähköä. Power to Gas (PtG) - sähköenergiasta luonnonkaasua tarjoaa yhden mahdollisuuden varastoida sähköä. Sähköä käytetään veden elektrolyysiin, jossa syntynyt vety käytetään metanoinissa yhdessä hiilidioksidin kanssa muodostamaan korvaavaa luonnonkaasua. Näin syntynyttä korvaava luonnonkaasua sähköstä kutsutaan e-SNG-kaasuksi. Tässä työssä tutkitaan PtG-laitoksen investointi, käyttö- ja kunnossapitokuluja. Työssä luodaan laskentamalli, jolla lasketaan PtG-laitoksen neljälle käyttötapaukselle kannattavuuslaskelma. Käyttötapauksille lasketaan myös herkkyystarkasteluja. Kannattavuuslaskelmien perusteella päätellään PtG-laitoksen liiketoimintamahdollisuudet Suomessa. Työssä laskettujen kannattavuuslaskelmien perusteella PtG-laitoksen perustapausten liiketoimintamahdollisuudet ovat huonot. Laskettujen herkkyystarkastelujen perusteella havaittiin, että investointikulut, laitoksen ajoaika ja lisätulot hapesta ja lämmöstä ovat kannattavuuden kannalta kriittisimmät menestystekijät.

Canadian Niagara Power Company fonds

Power at the Falls: The first recorded harnessing of Niagara Falls power was in 1759 by Daniel Joncairs. On the American side of the Falls he dug a small ditch and drew water to turn a wheel which powered a sawmill. In 1805 brothers Augustus and Peter Porter expanded on Joncairs idea. They bought the American Falls from New York State at public auction. Using Joncairs old site they built a gristmill and tannery which stayed in business for twenty years. The next attempt at using the Falls came in 1860 when construction of the hydraulic canal began by the Niagara Falls Hydraulic Power and Manufacturing Co. The canal was complete in 1861 and brought water from the Niagara river, above the falls, to the mills below. By 1881 the Niagara Falls Hydraulic Power and Manufacturing Co. had a small generating station which provided some electricity to the village of Niagara Falls and the Mills. This lasted only four years and then the company sold its assets at public auction due to bankruptcy. Jacob Schoellkopf arrived at the Falls in 1877 with the purchase of the hydraulic canal land and water and power rights. In 1879 Schoellkopf teamed up with Charles Brush (of Euclid Ohio) and powered Brush’s generator and carbon arc lights with the power from his water turbines, to illuminate the Falls electrically for the first time. The year 1895 marked the opening of the Adam No. 1 generating station on the American side. The station was the beginnings of modern electrical utility operations. The design and operations of the generating station came from worldwide competitions held by panels of experts. Some who were involved in the project include; George Westinghouse, J. Pierpont Morgan, Lord Kelvin and Nikoli Tesla. The plants were operated by the Niagara Falls Power Company until 1961, when the Robert Moses Plant began operation in Lewiston, NY. The Adams plants were demolished that same year and the site used as a sewage treatment plant. The Canadian side of the Falls began generating their own power on January 1, 1905. This power came from the William Birch Rankine Power Station located 500 yards above the Horseshoe Falls. This power station provided the village of Fort Erie with its first electricity in 1907, using its two 10,000 electrical horsepower generators. Today 11 generators produce 100,000 horsepower (75 megawatts) and operate as part of the Niagara Mohawk and Fortis Incorporated Power Group.

The placebo effect: international patent law and the protection of traditional plant medicine

Une préoccupation essentielle traverse cette thèse: l'indifférence systémique de la Loi internationale sur la propriété intellectuelle a l'égard des savoirs traditionnels autochtones. De manière générale, un écart semble d'ailleurs croissant entre l'importance des accords internationaux sur les questions d'intérêt commercial et ceux de nature sociale. Les savoirs traditionnels autochtones sur les plantes médicinales sont particulièrement désavantagés dans ce système dichotomique puisqu'ils sont non seulement à l'origine d'énormes profits commerciaux mais se trouvent aussi au cœur de multiples croyances propres à ces sociétés. L'Accord sur les aspects des droits de propriété intellectuelle qui touchent au commerce (ADPIC) de l'Organisation mondiale du commerce (OMC) a cristallisé le souci de la législation internationale à l'égard d'une protection efficace des intérêts commerciaux. Deux années auparavant, la Convention sur la diversité biologique (CDB) était signée, traduisant une préoccupation à l'égard du développement durable, et elle devenait le premier accord international à tenir compte des savoirs traditionnels autochtones. On considère souvent que ces deux accords permettent l'équilibre du développement commercial et durable, requis par l'économie internationale. Après plus ample examen, on a plutôt l'impression que l'idée d'une CDB défendant, avec succès et efficacité, la nécessité du développement durable et des savoirs traditionnels autochtones contre les pressions opposées de l'ADPIC et de l'OMC est, au mieux, simpliste. La thèse explore également la fonction de la Loi sur les brevets dans la création d’industries, notamment pharmaceutique, et la manière dont ces industries influencent la législation nationale et en particulier internationale. De même, elle traite du rôle que jouent les brevets dans l'affaiblissement et la dépossession des peuples autochtones dotés de savoirs traditionnels sur les plantes médicinales, conduisant à une situation ou ces savoirs sont marginalisés ainsi que leurs détenteurs. La thèse aborde les failles institutionnelles du système juridique international qui permet une telle situation et indique l'urgente nécessité d'examiner attentivement les inégalités économiques et sociales au Nord comme au Sud, et non seulement entre eux. Finalement, la thèse suggère que la législation internationale gagnerait à s'inspirer des diverses traditions juridiques présentes à travers le monde et, dans ce cas particulier, peut être les détenteurs des connaissances traditionnelles concernant les plantes médicinales seront mieux servi par le droit des obligations.

Reinforcement Learning Approaches to Power System Scheduling

One major component of power system operation is generation scheduling. The objective of the work is to develop efficient control strategies to the power scheduling problems through Reinforcement Learning approaches. The three important active power scheduling problems are Unit Commitment, Economic Dispatch and Automatic Generation Control. Numerical solution methods proposed for solution of power scheduling are insufficient in handling large and complex systems. Soft Computing methods like Simulated Annealing, Evolutionary Programming etc., are efficient in handling complex cost functions, but find limitation in handling stochastic data existing in a practical system. Also the learning steps are to be repeated for each load demand which increases the computation time.Reinforcement Learning (RL) is a method of learning through interactions with environment. The main advantage of this approach is it does not require a precise mathematical formulation. It can learn either by interacting with the environment or interacting with a simulation model. Several optimization and control problems have been solved through Reinforcement Learning approach. The application of Reinforcement Learning in the field of Power system has been a few. The objective is to introduce and extend Reinforcement Learning approaches for the active power scheduling problems in an implementable manner. The main objectives can be enumerated as:(i) Evolve Reinforcement Learning based solutions to the Unit Commitment Problem.(ii) Find suitable solution strategies through Reinforcement Learning approach for Economic Dispatch. (iii) Extend the Reinforcement Learning solution to Automatic Generation Control with a different perspective. (iv) Check the suitability of the scheduling solutions to one of the existing power systems.First part of the thesis is concerned with the Reinforcement Learning approach to Unit Commitment problem. Unit Commitment Problem is formulated as a multi stage decision process. Q learning solution is developed to obtain the optimwn commitment schedule. Method of state aggregation is used to formulate an efficient solution considering the minimwn up time I down time constraints. The performance of the algorithms are evaluated for different systems and compared with other stochastic methods like Genetic Algorithm.Second stage of the work is concerned with solving Economic Dispatch problem. A simple and straight forward decision making strategy is first proposed in the Learning Automata algorithm. Then to solve the scheduling task of systems with large number of generating units, the problem is formulated as a multi stage decision making task. The solution obtained is extended in order to incorporate the transmission losses in the system. To make the Reinforcement Learning solution more efficient and to handle continuous state space, a fimction approximation strategy is proposed. The performance of the developed algorithms are tested for several standard test cases. Proposed method is compared with other recent methods like Partition Approach Algorithm, Simulated Annealing etc.As the final step of implementing the active power control loops in power system, Automatic Generation Control is also taken into consideration.Reinforcement Learning has already been applied to solve Automatic Generation Control loop. The RL solution is extended to take up the approach of common frequency for all the interconnected areas, more similar to practical systems. Performance of the RL controller is also compared with that of the conventional integral controller.In order to prove the suitability of the proposed methods to practical systems, second plant ofNeyveli Thennal Power Station (NTPS IT) is taken for case study. The perfonnance of the Reinforcement Learning solution is found to be better than the other existing methods, which provide the promising step towards RL based control schemes for practical power industry.Reinforcement Learning is applied to solve the scheduling problems in the power industry and found to give satisfactory perfonnance. Proposed solution provides a scope for getting more profit as the economic schedule is obtained instantaneously. Since Reinforcement Learning method can take the stochastic cost data obtained time to time from a plant, it gives an implementable method. As a further step, with suitable methods to interface with on line data, economic scheduling can be achieved instantaneously in a generation control center. Also power scheduling of systems with different sources such as hydro, thermal etc. can be looked into and Reinforcement Learning solutions can be achieved.

Von den Markenteilungen bis zum Emscher Landschaftspark: Freiraumverluste und Freiraumschutz im Ruhrgebiet

In der vorliegenden Arbeit werden die Erfolge und Misserfolge der Freiraumpolitik im Ruhrgebiet untersucht. Ausgangspunkte sind der Freiraumschwund, der über einen Zeitraum von fast 200 Jahren dokumentiert wird, sowie die Gegenbewegungen, die sich für den Freiraumschutz einsetzen. Nach der Vorstellung einer Freiraumtypologie werden diese Entwicklungen in detaillierten historischen Abrissen für jeden Freiraumtyp dargestellt, woraus sich eine eigene Ruhrgebietsgeschichte - aus der Perspektive der Freiflächen und ihrer Nutzer - ergibt. Folgerichtig beginnt die vorliegende Arbeit nicht mit Kohle und Eisen, sondern mit der Land- und Forstwirtschaft. Anhand historischer Quellen wird die gängige Am-Anfang-war-die-Heide-These widerlegt, denn das Ruhrgebiet war waldreich und ein produktiver Agrarraum. Landwirtschaftliche Flächen- und Waldverluste sind die Basis der Siedlungstätigkeit. Ohne die Gemeinheitsteilungen im 19. Jahrhundert wären die Stadterweiterungen und Industrieansiedlungen im Ruhrgebiet nicht möglich gewesen. Die - in Grundzügen im Ersten Weltkrieg entwickelte - Agrarpolitik mit der Förderung von Produktivitätssteigerungen und Hofaufgaben erleichterte den weiteren Entzug von Agrarflächen, und genauso wirkt heute die Liberalisierung der Agrarmärkte. Alternative Ansätze (z.B. Direktvermarktung) konnten diesen Trend noch nicht aufhalten. Auch das Baumschutzgesetz von 1922 konnte die nationalsozialistischen Kahlschläge, die Waldverluste im Zweiten Weltkrieg und durch den Wiederaufbau nicht verhindern. Erst seit der Deindustrialisierung, der Aufforstung von Halden und der Umweltbewegung nehmen Wälder wieder zu. Demgegenüber treten Ende des 19. Jahrhunderts völlig neue Freiraumtypen auf. Die bürgerschaftliche Kleingartenbewegung wurde dank ihrer Bedeutung für die Ernährung in den Städten seit dem Ersten Weltkrieg vom Staat stark unterstützt, von den Nationalsozialisten gleichgeschaltet, konnte aber in den 1950er Jahren ihren bürgerschaftlichen Charakter und ihre Stärke wieder zurückgewinnen. Auch wenn Kleingärten als bauliche Reserveflächen missbraucht werden, geschieht dies nicht mehr ohne Ersatzland. Im Unterschied hierzu wurde die Stadtparkbewegung kommunalisiert. Sodann entstanden Volksparks mit Sportanlagen, ästhetisch ausgerichtete Gartenschauen, die breit gefächerten Revierparks der 1970er Jahre und neue Parktypen im Emscher Landschaftspark. 1920 wird der Siedlungsverband Ruhrkohlenbezirk gegründet, der mit den Verbandsgrünflächen ein eigenes Instrument zum Freiraumschutz und die Kompetenz zur Fluchtlinien- bzw. Bebauungsplanung erhielt. Inzwischen darf der Verband, vor einigen Jahren in den Regionalverband Ruhr umgewandelt, zu kommunalen Planungen nur noch Stellungnahmen abgeben. Schon früh versuchte der Verband, industrielles Ödland zu begrünen. Nach den Bahndammbegrünungen vor dem Zweiten Weltkrieg hat er seit den 1950er Jahren Halden aufgeforstet, bis in den 1990er Jahren der Aufbau des Emscher Landschaftsparks begann. Zechen- und Industriebrachen werden in neue Parks, Halden und Mülldeponien in Landmarken und Freizeitlandschaften verwandelt. Zu fragen ist, was aus diesen Geschichten für die Freiraumpolitik folgt. Zwei gegensätzliche Thesen werden diskutiert: die Tragedy of the Commons, die im Gemeineigentum die Ursache ökologischer Probleme sieht, während der Common-Property-Ansatz gerade in gemeinschaftlichen Nutzungen einen Ansatz für Problemlösungen sieht. Dabei liegt eine Besonderheit von Freiräumen in ihrem hohen Öffentlichkeitsgrad, d.h. dass sie von vielen Menschen genutzt werden und gleichzeitig mehrere, z.B. produktive, ökologische, politische oder berufliche Funktionen erfüllen. Untersucht wird, inwieweit erfolgreich gesicherte Freiflächen Merkmale von stabilen Common-Property-Institutionen tragen, d.h. welche Funktionen die Freiräume erfüllen, wie ihre Nutzung geregelt ist und vor allem welchen Einfluss die Nutzer auf Entscheidungen haben. Thesenhaft lässt sich zusammenfassen, dass ein Teil der Freiräume sein Wachstum einer derzeit unverzichtbaren Funktion verdankt, nämlich der Camouflage von Müll und Altlasten, die eine bauliche Nutzung ausschließen. Andere Freiräume verdanken ihren Bestand ihren vielfältigen Nutzungen, zur Erholung, durch Denkmäler, für Veranstaltungen, aber auch der Wertsteigerung für umliegende Wohngebiete. Ein kleiner Teil der Freiräume hat tatsächlich einen Common-Property-Charakter: Kleingartenanlagen, die von bürgerschaftlichen Gruppen gegründeten Parks sowie die Flächen, die durch Bürgerinitiativen o.ä. gegen eine bauliche Umnutzung verteidigt werden. Grund genug, um die Idee eines Netzwerks von Parkvereinen aufzugreifen, die sich von bürgerschaftlicher Seite aus für Freiräume einsetzen können.

Performance and efficiency in Colombia's power utilities: an assessment of the 1994 reform

El artículo describe las características centrales de la reforma regulatoria al sector eléctrico en 1994 y evalúa el desempeño y la eficiencia de las empresas públicas antes y después de la reforma. El análisis de desempeño evalúa los cambios en medias y medianas en ganancias, eficiencia, inversión y ventas de las empresas privatizadas en el sector. La eficiencia técnica es estimada mediante la técnica DEA en una muestra de 33 plantas térmicas de energía, que representan el 85% del parque térmico; y 12 empresas distribuidoras de energía. La muestra de plantas generadoras está compuesta por plantas que estaban activas antes de la reforma y plantas nuevas que entraron en operación después de la reforma. Los principales resultados muestran que la eficiencia mejoro después de la reforma y que la política regulatoria ha tenido un efecto positivo en la eficiencia de la generación térmica de energía. Por el contrario, las distribuidoras de energía menos eficientes empeoraron después de la reforma y no llevaron a cabo una reestructuración para alcanzar la eficiencia productiva respecto a las empresas que conforman la frontera de eficiencia en distribución de energía.

Privatization in Colombia: a plant performance analysis

El artículo describe el programa de privatización en el sector real de la economía Colombiana durante los años noventa y ubica esta política en un contexto de desregulación de mercados y promoción de la inversión privada en la oferta de infraestructura publica y servicios públicos domiciliarios. El articulo evalúa el programa de privatización en los sectores manufacturero y de generación de energía eléctrica. Se hacen mediciones ex - post y análisis econométrico del desempeño de las firmas privatizadas. En el sector manufacturero la muestra analizada esta compuesta por 30 firmas manufactureras de gran tamaño, donde el Instituto de Fomento Industrial era socio fundador. Los principales resultados sugieren que estas firmas mantuvieron un comportamiento pro - cíclico relativo a su principal competidor privado y desestimaron planes drásticos de reestructuración operativa. Para el grupo de firmas de generación de energía el articulo estudia el impacto de la reforma regulatoria en el proceso de entrada al mercado, estructura de propiedad, competencia de mercado y eficiencia productiva. La medición de eficiencia productiva usa la técnica de Data Envelope Análisis para 33 plantas que representan el 85% de la capacidad instalada en la generación térmica de energía eléctrica. La muestra esta compuesta por plantas que estaban en funcionamiento antes de la reforma y las entrantes que comenzaron su operación comercial después de la reforma. Los resultados sugieren que los niveles de evidencia en la generación térmica a mejorado después de la reforma y que la política regulatoria ha tenido un efecto positivo en la eficiencia productiva.