966 resultados para residential energy
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The end consumers in a smart grid context are seen as active players. The distributed generation resources applied in smart home system as a micro and small-scale systems can be wind generation, photovoltaic and combine heat and power facility. The paper addresses the management of domestic consumer resources, i.e. wind generation, solar photovoltaic, combined heat and power, electric vehicle with gridable capability and loads, in a SCADA system with intelligent methodology to support the user decision in real time. The main goal is to obtain the better management of excess wind generation that may arise in consumer’s distributed generation resources. The optimization methodology is performed in a SCADA House Intelligent Management context and the results are analyzed to validate the SCADA system.
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Many species of insects display a disposition to move towards light. As a consequence, nocturnal artificial lighting often contributes to an increase in insect population among humans. We tested the hypothesis that residential white lamps can evoke significantly different attraction to insects even when their light outputs are nearly indistinguishable to humans. In a two-choice experiment using insect traps equipped with either a compact fluorescent or a LED light source with similar photometric specifications, about three times more insects were captured in the trap with a compact fluorescent lamp than in the LED trap. The results suggest that LED lamps are preferable to compact fluorescent lamps when the objective is to avoid attracting nocturnal insects to households.
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Mode of access: Internet.
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"Illinois Energy Conservation Program."
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"ILENR/RE-PR-93/05(94)
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"March 1991."
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Mode of access: Internet.
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Originally published as: The residential conservation service auditor training manual.
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One of the most significant sources of greenhouse gas (GHG) emissions in Canada is the buildings sector, with over 30% of national energy end-use occurring in buildings. Energy use must be addressed to reduce emissions from the buildings sector, as nearly 70% of all Canada’s energy used in the residential sector comes from fossil sources. An analysis of GHG emissions from the existing residential building stock for the year 2010 has been conducted for six Canadian cities with different climates and development histories: Vancouver, Edmonton, Winnipeg, Toronto, Montreal, and Halifax. Variation across these cities is seen in their 2010 GHG emissions, due to climate, characteristics of the building stock, and energy conversion technologies, with Halifax having the highest per capita emissions at 5.55 tCO2e/capita and Montreal having the lowest at 0.32 tCO2e/capita. The importance of the provincial electricity grid’s carbon intensity is emphasized, along with era of construction, occupancy, floor area, and climate. Approaches to achieving deep emissions reductions include innovative retrofit financing and city level residential energy conservation by-laws; each region should seek location-appropriate measures to reduce energy demand within its residential housing stock, as well as associated GHG emissions.
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This study proposes the development of thermal and energy consumption maps to generate useful planning information. A residential neighbourhood in a medium-sized city was selected as the study area. In this area, 40 points were taken as urban reference points where air temperatures at the pedestrian level were collected. At the same time, rural temperatures made available by the city meteorological station were registered. Data of electrical energy consumption of the building units (houses and apartments) were collected through a household survey that was also designed to identify the users' income levels. Then, maps were developed so that the configuration of urban heat islands and electrical energy consumption could be visualised, compared and analysed. The results showed that the income level was the most important variable influencing electrical energy consumption. However, a strong relationship of the consumption with the thermal environment was also observed.
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"Home Energy Costs and Assistance in Illinois, 2001 Annual Report, is a product of the Low Income Energy Assessment Project, an ongoing process within the Department of Natural Resources' Office of Realty and Environmental Planning, Division of Energy and Environmental Assessment. Annual reports on the costs of home energy and the effect of low-income residential energy assistance programs have been published under this initiative since the passage of the Energy Assistance Act of 1989."--P. [3].
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Over thirty years ago, Leamer (1983) - among many others - expressed doubts about the quality and usefulness of empirical analyses for the economic profession by stating that "hardly anyone takes data analyses seriously. Or perhaps more accurately, hardly anyone takes anyone else's data analyses seriously" (p.37). Improvements in data quality, more robust estimation methods and the evolution of better research designs seem to make that assertion no longer justifiable (see Angrist and Pischke (2010) for a recent response to Leamer's essay). The economic profes- sion and policy makers alike often rely on empirical evidence as a means to investigate policy relevant questions. The approach of using scientifically rigorous and systematic evidence to identify policies and programs that are capable of improving policy-relevant outcomes is known under the increasingly popular notion of evidence-based policy. Evidence-based economic policy often relies on randomized or quasi-natural experiments in order to identify causal effects of policies. These can require relatively strong assumptions or raise concerns of external validity. In the context of this thesis, potential concerns are for example endogeneity of policy reforms with respect to the business cycle in the first chapter, the trade-off between precision and bias in the regression-discontinuity setting in chapter 2 or non-representativeness of the sample due to self-selection in chapter 3. While the identification strategies are very useful to gain insights into the causal effects of specific policy questions, transforming the evidence into concrete policy conclusions can be challenging. Policy develop- ment should therefore rely on the systematic evidence of a whole body of research on a specific policy question rather than on a single analysis. In this sense, this thesis cannot and should not be viewed as a comprehensive analysis of specific policy issues but rather as a first step towards a better understanding of certain aspects of a policy question. The thesis applies new and innovative identification strategies to policy-relevant and topical questions in the fields of labor economics and behavioral environmental economics. Each chapter relies on a different identification strategy. In the first chapter, we employ a difference- in-differences approach to exploit the quasi-experimental change in the entitlement of the max- imum unemployment benefit duration to identify the medium-run effects of reduced benefit durations on post-unemployment outcomes. Shortening benefit duration carries a double- dividend: It generates fiscal benefits without deteriorating the quality of job-matches. On the contrary, shortened benefit durations improve medium-run earnings and employment possibly through containing the negative effects of skill depreciation or stigmatization. While the first chapter provides only indirect evidence on the underlying behavioral channels, in the second chapter I develop a novel approach that allows to learn about the relative impor- tance of the two key margins of job search - reservation wage choice and search effort. In the framework of a standard non-stationary job search model, I show how the exit rate from un- employment can be decomposed in a way that is informative on reservation wage movements over the unemployment spell. The empirical analysis relies on a sharp discontinuity in unem- ployment benefit entitlement, which can be exploited in a regression-discontinuity approach to identify the effects of extended benefit durations on unemployment and survivor functions. I find evidence that calls for an important role of reservation wage choices for job search be- havior. This can have direct implications for the optimal design of unemployment insurance policies. The third chapter - while thematically detached from the other chapters - addresses one of the major policy challenges of the 21st century: climate change and resource consumption. Many governments have recently put energy efficiency on top of their agendas. While pricing instru- ments aimed at regulating the energy demand have often been found to be short-lived and difficult to enforce politically, the focus of energy conservation programs has shifted towards behavioral approaches - such as provision of information or social norm feedback. The third chapter describes a randomized controlled field experiment in which we discuss the effective- ness of different types of feedback on residential electricity consumption. We find that detailed and real-time feedback caused persistent electricity reductions on the order of 3 to 5 % of daily electricity consumption. Also social norm information can generate substantial electricity sav- ings when designed appropriately. The findings suggest that behavioral approaches constitute effective and relatively cheap way of improving residential energy-efficiency.
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The overall global-scale consequences of climate change are dependent on the distribution of impacts across regions, and there are multiple dimensions to these impacts.This paper presents a global assessment of the potential impacts of climate change across several sectors, using a harmonised set of impacts models forced by the same climate and socio-economic scenarios. Indicators of impact cover the water resources, river and coastal flooding, agriculture, natural environment and built environment sectors. Impacts are assessed under four SRES socio-economic and emissions scenarios, and the effects of uncertainty in the projected pattern of climate change are incorporated by constructing climate scenarios from 21 global climate models. There is considerable uncertainty in projected regional impacts across the climate model scenarios, and coherent assessments of impacts across sectors and regions therefore must be based on each model pattern separately; using ensemble means, for example, reduces variability between sectors and indicators. An example narrative assessment is presented in the paper. Under this narrative approximately 1 billion people would be exposed to increased water resources stress, around 450 million people exposed to increased river flooding, and 1.3 million extra people would be flooded in coastal floods each year. Crop productivity would fall in most regions, and residential energy demands would be reduced in most regions because reduced heating demands would offset higher cooling demands. Most of the global impacts on water stress and flooding would be in Asia, but the proportional impacts in the Middle East North Africa region would be larger. By 2050 there are emerging differences in impact between different emissions and socio-economic scenarios even though the changes in temperature and sea level are similar, and these differences are greater in 2080. However, for all the indicators, the range in projected impacts between different climate models is considerably greater than the range between emissions and socio-economic scenarios.
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Entro l’approccio concettuale e metodologico transdisciplinare della Scienza della Sostenibilità, la presente tesi elabora un background teorico per concettualizzare una definizione di sostenibilità sulla cui base proporre un modello di sviluppo alternativo a quello dominante, declinato in termini di proposte concrete entro il caso-studio di regolazione europea in materia di risparmio energetico. La ricerca, attraverso un’analisi transdisciplinare, identifica una crisi strutturale del modello di sviluppo dominante basato sulla crescita economica quale (unico) indicatore di benessere e una crisi valoriale. L’attenzione si concentra quindi sull’individuazione di un paradigma idoneo a rispondere alle criticità emerse dall’analisi. A tal fine vengono esaminati i concetti di sviluppo sostenibile e di sostenibilità, arrivando a proporre un nuovo paradigma (la “sostenibilità ecosistemica”) che dia conto dell’impossibilità di una crescita infinita su un sistema caratterizzato da risorse limitate. Vengono poi presentate delle proposte per un modello di sviluppo sostenibile alternativo a quello dominante. Siffatta elaborazione teorica viene declinata in termini concreti mediante l’elaborazione di un caso-studio. A tal fine, viene innanzitutto analizzata la funzione della regolazione come strumento per garantire l’applicazione pratica del modello teorico. L’attenzione è concentrata sul caso-studio rappresentato dalla politica e regolazione dell’Unione Europea in materia di risparmio ed efficienza energetica. Dall’analisi emerge una progressiva commistione tra i due concetti di risparmio energetico ed efficienza energetica, per la quale vengono avanzate delle motivazioni e individuati dei rischi in termini di effetti rebound. Per rispondere alle incongruenze tra obiettivo proclamato dall’Unione Europea di riduzione dei consumi energetici e politica effettivamente perseguita, viene proposta una forma di “regolazione per la sostenibilità” in ambito abitativo residenziale che, promuovendo la condivisione dei servizi energetici, recuperi il significato proprio di risparmio energetico come riduzione del consumo mediante cambiamenti di comportamento, arricchendolo di una nuova connotazione come “bene relazionale” per la promozione del benessere relazionale ed individuale.
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Este trabajo presenta un estudio de campo sobre confort térmico basado en la concepción adaptativa, para la determinación de las temperaturas y rangos de confort térmico de sujetos habituados a espacios enfriados mecánicamente en viviendas con aire acondicionado (AA) en el clima cálido y húmedo de la ciudad de Maracaibo (Venezuela) y las consecuentes implicaciones energéticas que tiene la satisfacción de esa demanda de confortabilidad en el sector residencial de la ciudad. Para la estimación de la temperatura de confort (Tc) y el rango de temperaturas de confort se aplican diferentes metodologías de análisis estadístico, las cuales son comparadas con las respectivas calculadas con el índice PMV; se analizan también otros aspectos asociados a la confortabilidad térmica, tales como las respuestas en las diferentes escalas de valoración de la confortabilidad, las preferencias, experiencias y expectativas térmicas de los sujetos. Las implicaciones energéticas se determinan en base al consumo de la energía eléctrica residencial debido exclusivamente a la variación de la Tc, entre la obtenida inicialmente en espacios naturalmente ventilados (NV) en Maracaibo (Bravo y Gonzalez 2001a) y la determinada ahora en espacios con AA. Para ello, se utiliza una metodología que es el resultado de la modificación parcial de la propuesta por Yamtraipat et al (2006). Entre los resultados y conclusiones derivadas de este estudio se encuentra que el 57 % de las personas prefieren las mismas condiciones confortables experimentadas en los ambientes con AA y solamente un 30 % prefieren experimentar ambientes ligeramente fríos y ligeramente calientes. Mientras tanto, las estimaciones de la Tc, y el respectivo rango, varían de acuerdo a la metodología empleada. Con la convencional metodología adaptativa, la Tc se estima en 25 °C en un amplio rango de 6 °C, entre 22 °C y 28 °C; mientras que con la metodología denominada “método de los promedios de los intervalos de las sensaciones térmicas” (Gómez-Azpeitia et al, 2007), la misma Tc se estima en 24 °C, en un rango estrecho de 22,5 °C a 25,5 °C y en un rango ampliado de 21 °C a 27 °C (amplitud 6 °C), donde se encuentran las tres cuartas partes de las personas del estudio. Ambas Tc son muy próximas a la temperatura operativa optima de 24,5 °C (rango de 23 °C a 26 °C) establecida por las normas internacionales ISO 7730:1994 y ASHRAE 55:1992 para el verano en climas templados. Sin embargo, la Tc estimada con los valores de PMV resulta ser superior en 1 °C y 2 °C a la Tc estimada con la metodología adaptativa (25 °C) y con el metodo de los promedios de los intervalos (24 °C), respectivamente. Con la metodología aplicada y la muestra del estudio se estima que de haberse registrado una Tbsint igual o próxima a 28 C (equivalente a la Tc en espacios NV en Maracaibo) en todos los espacios medidos (con Tbsint entre 19 C y 29 C), el ahorro total de la energía anual seria de 1.648,1 GWh en un ano respecto al consumo de AA en el año 2007 (2.522,3 GWh en un ano), mientras que el ahorro de energía asumiendo Tbsint de 24 C y de 25 C, resultan en 651,9 GWh en un ano y 425,7 GWh en un ano, respectivamente. Esto significa respectivos consumos adiciones de energía eléctrica equivalentes al 60,4 % y 74,2 %. Finalmente, los hábitos o conductas adoptadas por las personas de este estudio, sumado a las predominantes manifestaciones de confortabilidad en ambientes enfriados mecánicamente, redundan en mayores adaptaciones a condiciones de frio y exigencias de temperaturas de confort más bajas, con su consecuente consumo energético para proveerlas. ABSTRACT This investigation presents a study on thermal comfort following the adaptive approach for the determination of the thermal comfort temperatures and ranges of subjects accustomed to mechanically refrigerated spaces in dwellings with air conditioning (AA) systems in the hot and humid weather of the city of Maracaibo (Venezuela) and the ensuing energy use implications it has on the satisfaction of such demand of comfortability in the residential sector of the city. For the estimation of the comfort temperature (Tc) and the range of comfort temperatures different statistical analysis methodologies were used, which are then compared to the respective values calculated with the PMV index, also discusses other aspects related with thermal comfortability were analyzed, such as the responses on the different scales of perception of thermal comfortability, preferences, experiences and expectations of the analyzed subjects. The energetic implications are determined through the residential energy consumption related exclusively with the variation of the Tc between the originally calculated for naturally ventilated (NV) spaces in Maracaibo (Bravo y Gonzalez 2001a) and the one calculated on the present study with AA. For this, a new methodology was developed by partially modifying the Yamtraipat et al (2006) proposal. Among the results and conclusions of this study are that 57 % of the studied subjects prefer the same comfortable conditions experienced on AA environments and only a 30 % prefer to experience slightly cooler or warmer environments. Also, estimations of the Tc and its respective range vary according to the used methodology. With the conventional adaptive methodology, the Tc is estimated in 25 °C with a wide range of 6 °C, between 22 °C and 28 °C, while using the “thermal sensation intervals averages method” (Gomez-Azpeitia et al, 2007) the Tc is estimated in 24 °C on a narrow range between 22.5 °C and 25.5 °C and a widened range of 21 °C to 27 °C (6 °C in amplitude), a range where . of the studied subjects are located. Both Tc are very close to the optimum operation temperature of 24.5 °C (with a range between 23 °C and 26 °C) established on the ISO 7730:1994 and ASHRAE 55:1992 international norms for the summer on warm climates. However, the estimated Tc with the PMV indexes results to be 1 °C and 2 °C above the Tc estimated with the adaptive methodology (25 °C) and the thermal sensation intervals averages method (24 °C), respectively. With the applied methodology and this study sample, its estimated that if a Tbsint equal or close to 28 °C (equivalent to the Tc in NV spaces in Maracaibo) was registered in all measured spaces (with Tbsint between 19 °C and 29 °C) the total yearly energy savings would be of 1.648,1 GWh in a year with respect to the AA consumption in the year 2007 (2.522.3 GWh in a year), while the energy savings assuming a Tbinst of 24 °C and 25 °C result in 651.9 GWh and 425.7 Gwh in a year, respectively. This means that the respective additional electrical energy consumption amount to 60.4 % and 74.2 %, respectively. Finally, the habits or behaviors adopted by the subjects analyzed on this study, added to the predominant manifestations of comfortability in mechanically refrigerated environments result in greater adaptations to colder conditions and lower thermal comfort temperature demands, with the consequential increase in power consumption to meet them.