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Theory And Application Research Of Regional Client Energy Comprehensive Demand-Side Management

Posted on:2011-09-01Degree:DoctorType:Dissertation
Country:ChinaCandidate:Y L WangFull Text:PDF
GTID:1112330362453283Subject:Technical Economics and Management
Abstract/Summary:PDF Full Text Request
By the end of 2009, Chinese Government has enacted the goal of 2020 to reduce carbon intensity: carbon dioxide emissions per unit of GDP will be reduced 40%-45% compared to 2005. Basing on the national policy of energy conservation and the strategic planning of low-carbon economy in China, and analyzing the long-term goal of improving energy efficiency, reducing pollution and emissions, this paper presents a effective measures. It is the theory and application research of regional client energy comprehensive demand-side management. It is hoped that through this research to achieve the purpose of saving energy consumption and improving energy efficiency.This paper proposes the concept of Energy Comprehensive Demand-Side Management (ECDSM), that is: studying the market's demand for the production and consumption of cold, heat and power from the view of demand-side, and handling the relationship on the demand-side and the supply-side from a high level, which can fundamentally achieve the purpose of saving the energy and protecting the environment. This paper also proposes the involved contents, conditions, means and purposes of the implementation in the process of conducting ECDSM; and analyses the value of conducting ECDSM.This paper analyses the demand level and consumption structure of regional client energe cool heat power market. Through the analysis of the demand and consumption structure of the cool, heat and power in the regional client market, this paper discovers the inherent link of cool, heat and power, and finds the key to reducing energy consumption through the analysis of the energy consumption level, which can be deeply reflected in the analysis of the three's proportional relationship.This paper studies all the factors that affected the client-side energy demand, and builts client-side energy demand forecast model based on Support Vector Machine and Ant Colony Optimization. This model overcomes these difficulties including the difficulties in the collection of the data for the local client-side demand, small sample, several of multiple factors, and hard to master the relationship between the affections and the change for the client-side energy demand. In this paper, take the case of Beijing for example, forecast and analyze the data, and get a good prediction at last.Based on Energy saving and emission reduction ,this paper establishes the client energy operation mechanism, presents technology, economic, incentives and administrative mechanisms on the management of client-side energy demand for heating and power, and proposes the corresponding implementation plans. In addition, corresponding policy proposals are given to government in the implementation process of the role of ECDSM.The client energy operation mechanism is proposed based on Energy saving and emission reduction, and a complete set of effectiveness evaluation index system for the client-side energy demand management and operating mechanism is constructed. During the process of index system, analyze the various of factors and links during the operation of ECDSM, taking consideration of the energy consumption, electricity demand side, building consumption, building saving, the integrated resource planning, national energy policies, and so on. In addition, the corresponding evaluation methods are also analyzed in this paper.This paper proposed the analysis and evaluation of the benefit of CCHP (combined cooling heating and power). According to the evaluation index system of the operational mechanism on the client-side energy demand, and the features of CCHP system, this paper established index system about benefit evaluation. It proposed the evaluation model, which is based on Elman neural network model for regional CCHP system. Through case studies, it is proved that the evaluation based on Elman neural network model is much more accurate. Besides the results come out to be very well, the evaluation model can be applied widely.
Keywords/Search Tags:energy comprehensive demand-side management, client energy cool heat power, enery forecasting, operational mechanism, evaluation index system
PDF Full Text Request
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