935 resultados para district heating net
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En aquest article es pretén explicar breument la viabilitat de la futura gestió i utilització de la biomassa forestal de Bellver de Cerdanya mitjançant un district heating al futur barri del Pla de Tomet. Les particularitats per les quals aquest poble és ideal per a aquest projecte són que l'ajuntament és propietari de gairebé un 90% dels boscos situats en aquest municipi; i que alhora ja ha realitzat diverses instal·lacions que utilitzen la biomassa forestal per a calefacció i ACS. La situació econòmica de la comarca és bastant complicada, ja que s'ha basat en el sector turístic i la construcció, però ambdós no passen pel millor moment. El projecte serviria per donar un valor a la biomassa forestal que fins ara no s'ha donat, i alhora s'intenta buscar nous inputs econòmics per a la Cerdanya. En aquest treball també s'analitza quins haurien de ser els futurs tractaments que s'haurien d'aplicar a la forest, tenint en compte les activitats que es realitzen actualment, i evitant en tot moment possibles efectes negatius, com podria ser la sobreexplotació. També es dedica una part del projecte a explicar els sistemes per obtenir i gestionar de forma correcta la biomassa. A continuació es tracta la part més tècnica, realitzant una estimació del possible futur consum energètic del barri del Pla de Tomet, encara no construït; i decidint quins sistema de calderes seria el més adequat, el tipus d’emmagatzematge més apropiat i els passos a seguir per millorar el rendiment del procés de la gestió i extracció de la biomassa. Seguint tots aquests passos s'arriba a la conclusió que aprofitar la biomassa forestal és millor solució que utilitzar combustibles fòssils. A part dels obvis beneficis medi ambientals, també és millor a nivell econòmic, tant pels futurs veïns com per l'ajuntament.
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Loose leaf; variously paged.
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Tit0le Varies: V.1-38 (Oct.1915-Apr. 1953) Bulletin
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Mode of access: Internet.
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In this thesis project, a building in Vegagatan 12, Gävle has been analysed in order to see why it does consume more energy than it was expected. This building is a low energy building certified by Miljöbyggnad and it should use less than 55kWh/m2 year and nowadays it is using 62.23 kWh/m2. To get the needed data, some information about the building has been gathered, some measurements have been done in the building and some calculations have been done with those measurements. Finally, some possible solutions have been offered to reduce the energy use of the building. Insulating the floor, the pipes and the walls, reducing the indoor temperature in winter... All of these changes need the help of environmentally friendly attitudes, which is a very important fact in low energy buildings.
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A district heating system comprises production facilities, a distribution network, and heat consumers. The utilization of new energy metering and reading system (AMR) is increasing constantly in district heating systems. This heuristic study shows how the AMR system can be exploited in finding optimization opportunities in district heating system. In this study, the district heating system is mainly considered from the viewpoint of operational optimization. The focus is on the core processes, heat production and distribution. Three objectives were set to this study. The first one was to examine general optimization opportunities in district heating systems. Second, to figure out the benefits of AMR for general optimization opportunities. Finally, to define a methodology for process improvement endeavors. This study shows, through a case study, the usefulness of AMR in specifying current deficiencies in a district heating system. Based on a literature review, the methodology for the improvement of business processes is presented. Additionally, some issues related to future competitiveness of district heating are concerned. As a conclusion, some optimization objectives are considered more desirable than others. Study shows that AMR is useful in the specification of optimization targets in the district heating system. Further steps in optimization process were not examined in detail. That would seem to be interesting topic for further studies.
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The purpose of this Thesis is to find the most optimal heat recovery solution for Wärtsilä’s dynamic district heating power plant considering Germany energy markets as in Germany government pays subsidies for CHP plants in order to increase its share of domestic power production to 25 % by 2020. Different heat recovery connections have been simulated dozens to be able to determine the most efficient heat recovery connections. The purpose is also to study feasibility of different heat recovery connections in the dynamic district heating power plant in the Germany markets thus taking into consideration the day ahead electricity prices, district heating network temperatures and CHP subsidies accordingly. The auxiliary cooling, dynamical operation and cost efficiency of the power plant is also investigated.
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The growing population in cities increases the energy demand and affects the environment by increasing carbon emissions. Information and communications technology solutions which enable energy optimization are needed to address this growing energy demand in cities and to reduce carbon emissions. District heating systems optimize the energy production by reusing waste energy with combined heat and power plants. Forecasting the heat load demand in residential buildings assists in optimizing energy production and consumption in a district heating system. However, the presence of a large number of factors such as weather forecast, district heating operational parameters and user behavioural parameters, make heat load forecasting a challenging task. This thesis proposes a probabilistic machine learning model using a Naive Bayes classifier, to forecast the hourly heat load demand for three residential buildings in the city of Skellefteå, Sweden over a period of winter and spring seasons. The district heating data collected from the sensors equipped at the residential buildings in Skellefteå, is utilized to build the Bayesian network to forecast the heat load demand for horizons of 1, 2, 3, 6 and 24 hours. The proposed model is validated by using four cases to study the influence of various parameters on the heat load forecast by carrying out trace driven analysis in Weka and GeNIe. Results show that current heat load consumption and outdoor temperature forecast are the two parameters with most influence on the heat load forecast. The proposed model achieves average accuracies of 81.23 % and 76.74 % for a forecast horizon of 1 hour in the three buildings for winter and spring seasons respectively. The model also achieves an average accuracy of 77.97 % for three buildings across both seasons for the forecast horizon of 1 hour by utilizing only 10 % of the training data. The results indicate that even a simple model like Naive Bayes classifier can forecast the heat load demand by utilizing less training data.
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The purpose of this Master´s Thesis is to develop asset management and its practices in case company. District heating and cooling systems operated by case company around Finland, Sweden, Poland and the Baltics form an enormous-sized asset base where some parts are starting to reach their end of life-cycles. Large-sized asset renewal actions are under discussion and maintenance spending is increasing. Financially justified decisions in changing business environment are needed. Asset management is one of the most important concepts for production organization which operates with capital-intensive production assets. Organizations profitability is highly dependent on assets´ performance. Such assets, like district heating and cooling systems, should be utilized as efficiently as possible within their life-cycles but also maintained and renewed optimally. In this qualitative thesis, empirical interview study was conducted to describe the current situation on how the assets are managed in the case company and to examine the readiness to implement a new, risk-based solution. Asset management revealed to be a very well-known concept. From proposed risk-based asset management point of view, several key observations were made. It was seen as a suitable solution, but further development will be needed. Based on the need and findings, several key processes and frameworks were created and also tested with a case study. Assets` condition monitoring should be improved, which would have a positive impact on event probability assessment. Risk acceptance is also a thing to be discussed further. When the evaluation becomes fluent in single investment cases, portfolio-level expansion should be considered and started. As a result, thesis proposes a solution how risk-based asset management could be performed practically in a capital-intensive case company in order to optimize the maintenance spending in a long run. Created practical framework is made universal: similar principles can be applied into multiple cases in case company but also in other energy companies. Risk-based asset management`s benefits could be utilized best in portfolio-level optimization where the capital would be invested to the most important objects from total risk point of view. Eventually, such approach would allow case company to optimize capital spending in a situation where funds are not adequate to cover all the mandatory needs and prioritization between the investment alternatives will truly be needed.
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To achieve CO2 emissions reductions the UK Building Regulations require developers of new residential buildings to calculate expected CO2 emissions arising from their energy consumption using a methodology such as Standard Assessment Procedure (SAP 2005) or, more recently SAP 2009. SAP encompasses all domestic heat consumption and a limited proportion of the electricity consumption. However, these calculations are rarely verified with real energy consumption and related CO2 emissions. This paper presents the results of an analysis based on weekly head demand data for more than 200 individual flats. The data is collected from recently built residential development connected to a district heating network. A methodology for separating out the domestic hot water use (DHW) and space heating demand (SH) has been developed and compares measured values to the demand calculated using SAP 2005 and 2009 methodologies. The analysis shows also the variance in DHW and SH consumption between both size of the flats and tenure (privately owned or housing association). Evaluation of the space heating consumption includes also an estimation of the heating degree day (HDD) base temperature for each block of flats and its comparison to the average base temperature calculated using the SAP 2005 methodology.
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The value of integrating a heat storage into a geothermal district heating system has been investigated. The behaviour of the system under a novel operational strategy has been simulated focusing on the energetic, economic and environmental effects of the new strategy of incorporation of the heat storage within the system. A typical geothermal district heating system consists of several production wells, a system of pipelines for the transportation of the hot water to end-users, one or more re-injection wells and peak-up devices (usually fossil-fuel boilers). Traditionally in these systems, the production wells change their production rate throughout the day according to heat demand, and if their maximum capacity is exceeded the peak-up devices are used to meet the balance of the heat demand. In this study, it is proposed to maintain a constant geothermal production and add heat storage into the network. Subsequently, hot water will be stored when heat demand is lower than the production and the stored hot water will be released into the system to cover the peak demands (or part of these). It is not intended to totally phase-out the peak-up devices, but to decrease their use, as these will often be installed anyway for back-up purposes. Both the integration of a heat storage in such a system as well as the novel operational strategy are the main novelties of this thesis. A robust algorithm for the sizing of these systems has been developed. The main inputs are the geothermal production data, the heat demand data throughout one year or more and the topology of the installation. The outputs are the sizing of the whole system, including the necessary number of production wells, the size of the heat storage and the dimensions of the pipelines amongst others. The results provide several useful insights into the initial design considerations for these systems, emphasizing particularly the importance of heat losses. Simulations are carried out for three different cases of sizing of the installation (small, medium and large) to examine the influence of system scale. In the second phase of work, two algorithms are developed which study in detail the operation of the installation throughout a random day and a whole year, respectively. The first algorithm can be a potentially powerful tool for the operators of the installation, who can know a priori how to operate the installation on a random day given the heat demand. The second algorithm is used to obtain the amount of electricity used by the pumps as well as the amount of fuel used by the peak-up boilers over a whole year. These comprise the main operational costs of the installation and are among the main inputs of the third part of the study. In the third part of the study, an integrated energetic, economic and environmental analysis of the studied installation is carried out together with a comparison with the traditional case. The results show that by implementing heat storage under the novel operational strategy, heat is generated more cheaply as all the financial indices improve, more geothermal energy is utilised and less fuel is used in the peak-up boilers, with subsequent environmental benefits, when compared to the traditional case. Furthermore, it is shown that the most attractive case of sizing is the large one, although the addition of the heat storage most greatly impacts the medium case of sizing. In other words, the geothermal component of the installation should be sized as large as possible. This analysis indicates that the proposed solution is beneficial from energetic, economic, and environmental perspectives. Therefore, it can be stated that the aim of this study is achieved in its full potential. Furthermore, the new models for the sizing, operation and economic/energetic/environmental analyses of these kind of systems can be used with few adaptations for real cases, making the practical applicability of this study evident. Having this study as a starting point, further work could include the integration of these systems with end-user demands, further analysis of component parts of the installation (such as the heat exchangers) and the integration of a heat pump to maximise utilisation of geothermal energy.
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Kaukolämmitys on yleisin Suomessa käytetty lämmitysmuoto ja sen osuus koko lämmitysmarkkinoista on noin 50 %. Kaukolämmön varsinainen tuotanto ja jakelu alkoivat Suomessa vuonna 1957 ja Jyväskylässä vuonna 1960. Jyväskylässä kaukolämmön piiriin kuuluivuoden 2006 loppuun mennessä noin 3200 asiakasta. Suurin tuntiteho laitoksilta oli noin 375 MW. Vuonna 2020 suurimman tuntitehon on ennustettu olevan noin 480 MW, mikä tarkoittaa asiakasmäärän ja verkon pituuden merkittävää kasvua. Jyväskylän kaukolämpöverkon nykytilanne on hyvä. Verkostolaskennan tulosten perusteella lämpö saadaan siirtymään nykyisillä laitoksilla ja verkon laitteilla jokaiselle asiakkaalle niin normaalitilanteessa kuin päälaitoksen häiriötilanteessa. Häiriötilanteessa paikallisia ongelmia voi esiintyä, mutta niihin voidaan vaikuttaa parantavasti esimerkiksi verkon staattisen paineen nostolla. Jyväskylän kaukolämpöverkon tulevaisuuden näkymät ovat erinomaiset. Laskennan perusteella verkkoa voidaan laajentaa kaikille laskennassa mukana olleille alueille ilman suurempia ongelmia. Uuden tuotantokapasiteetin, verkonlaajentumisen ja asiakasmäärän kasvun aiheuttamat kehitystarpeet saatiin selvitetyksi ja tulokset olivat aikaisempien tutkimusten suuntaisia. Tulevaisuutta ajatellen verkkoon joudutaan tekemään muutamia muutoksia suunniteltujen uusien yhteyksien lisäksi. Uuteen linjaan, joka yhdistää Palokan verkon toisen yhteyden kautta Jyväskylän pääverkkoon, rakennetaan mahdollisesti pumppaamo. Lisäkuristusventtiilejä tarvitaan viiteen eri paikkaan turvaamaan riittävän suuret kaukolämpöveden paluupaineet. Osa venttiileistä olisi suositeltavaa asentaa jo nykytilanteessa, sillä niiden hankinta parantaisi verkon nykytilaa.
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Kaukojäähdytyksellä tarkoitetaan keskitetysti tuotetun jäähdytysenergian jakamista kiinteistöihin jakeluverkossa kiertävän kylmän veden välityksellä, eli kaukojäähdytys on ulkoistettu jäähdytysratkaisu. Jäähdytysenergiaa tarvitaan työtehon, viihtyisyyden ja sisäilman laadun parantamiseksi, sekä joidenkin prosessien tarpeisiin. Siinä missä perinteinen kiinteistökohtainen jäähdytysjärjestelmä tuottaa jäähdytysenergian sähköllä, käytetään kaukojäähdytyksessä jäähdytysenergian tuottamiseen sellaisia resursseja, jotka muuten jäisivät käyttämättä. Tästä syystä kaukojäähdytys vähentää merkittävästi hiilidioksidipäästöjä, jonka lisäksi kaukojäähdytys vähentää kylmäkoneissa käytettävien kylmäaineiden aiheuttamia kasvihuonekaasupäästöjä. Kaukolämpöverkkoa muistuttavan kaukojäähdytysverkon rakentaminen vaatii suuria investointeja. Nykyisin jakeluverkon rakenteena käytetään 2Mpuk- rakennetta, jonka todettiin olevan teknistaloudellisesti soveltuvin vaihtoehto Helsingin Energian kaukojäähdytysverkkoon. Myös PE 100 putkia voitaisiin käyttää PN 16 paineluokassa alle DN 300 kokoluokkaa vastaavissa johdoissa, ja PN 10 paineluokassa alle DN 400 johdoissa. Kaukolämpöverkon paineluokan valinta vaikuttaa oleellisesti investointikustannuksiin PE- putkilla ja joillekin alueille kannattanee rakentaa alemman paineluokan omaava erillisverkko PE- putkista. Happidiffuusion kautta PE- putkista pääsee jonkin verran happea verkkoon, mutta määrät ovat melko pieniä, eikä muitakaan teknisiä esteitä hyvin korroosiota kestävien PE- putkien käytölle ole. 2Mpuk- rakenteelle suurimman riskin aiheuttaa elementtien liitoskohdista teräsputken pinnalle pääsevä ulkopuolinen vesi. Koska kaukojäähdytysjohdot ovat lisäksi yleensä ympäristöä kylmempiä, kondensoivat ne vettä pinnallensa kaukolämpöjohdoista poiketen. Ulkopuolisen veden aiheuttamaa riskiä voitaisiin pienentää eristämällä liitoskohdat sähkömuhveilla. Verkoston rakentamiskustannuksia ja liikenteelle aiheutuvia haittoja voidaan vähentää ojattomia rakentamismenetelmiä, kuten suuntaporausta käyttämällä.
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Tämän tutkimuksen tavoitteena oli laatia tarkastelumalli, jonka perusteella pystyttäisiin analysoimaan tutkimuksessa tarkasteltavan kaukolämpöjohdon lämpöhäviöiden talteenot-toratkaisun taloudellista kannattavuutta yleisellä tasolla sekä sen mahdollisissa sovellus-kohteissa. Työssä tarkastellaan kaukolämpöjohtoa, jonka sisään on sijoitettu lämmönke-ruuputki. Lämmönkeruuputken on tarkoitus kerätä lämpöä kaukolämpöjohdon vaipasta sekä pitää vaipan lämpötilaa ympäristön lämpötilaa matalampana, jolloin johdon ulkopuo-lisia lämpöhäviöitä ei synny. Tarkastelumalli laadittiin perustuen lämpöpumppuprosessin ja kaukolämpöverkoston yleisiin mitoitusperiaatteisiin sekä ratkaisuun liittyvien järjestelmien osalta kerättyihin tarkas-teluhetkeä edustaviin kustannustietoihin. Tarkastelumallista laadittiin Excel-laskentataulukkona, jota voidaan tulevaisuudessa soveltaa järjestelmän sovelluskohdekoh-taiseen tarkasteluun sekä mitoitukseen. Lasketut takaisinmaksuajat osoittautuivat kaikissa tarkastelluissa tapauksissa järjestelmien arvioitua teknistä käyttöikää lyhyemmäksi. Järjestelmällä voisi olla tietynlaisissa sovellus-kohteissa myös strateginen, kaukolämpöliiketoiminnan riskejä vähentävä merkitys.
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En aquest treball se sintetitzen els resultats més destacats del projecte de final de carrera de la llicenciatura de Ciències Ambientals sobre l’aprofitament de la biomassa forestal al Parc de Collserola (PCo), realitzat a la Universitat Autònoma de Barcelona (UAB). L’objectiu principal és determinar la disponibilitat de biomassa forestal susceptible a ser extreta del PCo a fi d’aprofitar-la per a l’obtenció d’energia. Els principals factors analitzats són: la producció anual per cada espècie, les limitacions que marquen l’explotació i la tecnologia aplicable per a l’aprofitament en tres possibles escenaris. La proposta d’explotació sostenible dels boscos del PCo s’efectua sobre les espècies de Pinus halepensis, Quercus ilex i Quercus cerrioides, que presenten una producció major de biomassa susceptible a ser aprofitada, 5.500, 4.000 i 300 t psa1/any, respectivament. Per tant, la biomassa extraïble de forma sostenible al PCo s’estima en aproximadament 9.700 tones/any. L’estudi de l’aprofitament forestal està marcat per limitacions d’extracció, tals com les limitacions silvícoles (zones amb una cobertura arbòria igual o superior al 70% i un pendent igual o inferior al 60%) i d’accessibilitat (franges de 25 metres a banda i banda de les vies forestals). Amb la quantitat de biomassa extraïble es poden establir diferents escenaris d’aplicació energètica, mitjançant la seva combustió en calderes amb diverses potències de funcionament. Des del nivell domèstic (calderes domèstiques) fins al d’una gran planta (cogeneració), passant per l’aplicació en un barri residencial (District Heating). D’aquesta manera s’obté energia tèrmica, per calefacció, o elèctrica, aplicable a residències individuals, a barris residencials o a polígons industrials. S’ha escollit l’escenari de District Heating com el més viable, ja que és el que més avantatges presenta dintre del context del parc i un ventall de possibilitats d’aplicació més elevat. Per determinar-ne la viabilitat, s’han integrat diversos aspectes: tecnològics (eficiència, producció energètica, tipus de combustible i requeriment de biomassa), ambientals (impactes generats), socials (percepció dels usuaris) i econòmics (llocs de treball generats i viabilitat econòmica).