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Author: G. Thomas Sav
Publisher: Elsevier
ISBN:
Category : Business & Economics
Languages : en
Pages : 240
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Book Description
Author: G. Thomas Sav
Publisher: Elsevier
ISBN:
Category : Business & Economics
Languages : en
Pages : 240
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Book Description
Author: Heriberto A. Marin
Publisher:
ISBN:
Category :
Languages : en
Pages : 220
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Book Description
Author: Hassan Qudrat-Ullah
Publisher: Springer
ISBN: 3319248294
Category : Business & Economics
Languages : en
Pages : 88
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Book Description
Using a system dynamics approach, this book illustrates the physics of fundamental accumulation processes (stocks and flows) across the demand and supply sectors of energy systems. Examples of system dynamics simulation models are presented where these accumulation processes are driving the behavior of the system. Based on these modeling efforts, two cases (the socio-economic and environmental implications of the energy policy of Pakistan and the dynamics of green power in Ontario, Canada) are analyzed and discussed. By studying the dynamics of the fundamental structures of an energy system, the reader gains an enhanced understanding of the stocks and flows of complex systems as well as their role in energy policy. This book is of use to managers and practitioners, teachers, researchers, and students of design and assessment of policy making for complex, dynamic energy systems.
Author: Farbod Farzan
Publisher:
ISBN:
Category : Energy development
Languages : en
Pages : 148
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Book Description
This thesis is focused on development of an integrated decision making support framework to assist with the design of a sustainable community that has access to secure clean energy and utilizes innovative technologies and strategies. Innovative technologies include but not limited to renewable generation/storage resources, Plug-In Electric Vehicle (PEV), Building Monitoring Systems (BMS), Programmable Communication Devices (PCD), and etc. This framework has 3 unique components: i. energy dynamic demand modeling, ii. investment strategies for Distributed Energy Resources (DER), and iii. demand side energy management in uncertain markets. In the existing litrature and industry practices, energy load profile is considered as an input to a decision making support tools and its dynamics is ignored which can lead to unreliable and less cost effective investment decisions in the long run. The analysis of such dynamics is not possible with existing demand forecast models, which are built based on time series forecasts relying on historical data. Therefore, in this thesis a bottom-up demand forecasting model entitled High Resolution Adaptive Model (Hi-RAM) is integrated with DER investment model. Hi-RAM provides compelling results concerning the potential load shifting of PEVs, as well as how advanced energy management systems enable response to Electric Distribution Companies (EDC) price signals. Hi-RAM is a bottom-up stochastic demand model consisting of: 1- Markovian stochastic process for simulating human activities, and buildings occupany profiles. 2- Probabilistic Bayesian and Logistic technology adoption models and 3- Optimization and rule-based energy management models for building end-uses e.g., Heating, Ventilating, and Air Conditioning (HVAC), Lighting, and PEV charging which enable them to respond to EDC price signals without compromising users' comfort. The DER investment model is built as a non-linear stochastic mixed integer programming to maximize the cash flow over the planning horizon considering long-term market variations, short-term operational volatilities, and the dynamics of underlying demand. Integration of Hi-RAM and the DER investment model offers a novel analytical framework which can be used at the design stage of new products to assess their effectiveness. Such a framework can also assist decision makers to investigate investment strategies on community's DER e.g., PV solar, wind turbines, electric storages, and etc. taking into account the specifics of building behavioral and physical characteristics as well as the emergence of new end-uses and Demand-Side Management (DSM) capabilities. While developing this tool is an essential step towards sustainable and efficient energy solutions in the planning stage of new buildings and communities, attention must also be paid to the existing building stock where the U.S. buildings sector alone accounted for 7% of global primary energy consumption. Recognizing its importance, this thesis also investigates advanced energy magement and control policies for buildings within a constrained peak demand envelope while ensuring that custom climate conditions are facilitated. This will mitigate service disruption and high cost of energy production and distribution.
Author: Richard W. Asplund
Publisher: John Wiley & Sons
ISBN: 0470268042
Category : Business & Economics
Languages : en
Pages : 386
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Book Description
With Profiting from Clean Energy, respected investment analyst Richard Asplund provides an in-depth explanation of the technology and industry structure behind various sectors of this field and in the process identifies more than 150 stocks related to clean energy. Along the way, Asplund discusses exactly what it takes to effectively invest in clean energy—whether it be through buying individual stocks, investing in green exchange-traded funds or mutual funds, or trading the biofuel and carbon credit markets.
Author: Mahdi Ghaemi Asl
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Walid Ahmed
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
This paper aims to identify factors that drive US clean-energy stock price movements in the short and long term, using a wide range of variables representing the carbon emission market, non-green financial assets, non-renewable commodities, macroeconomic fundamentals, investor attention and sentiment, and global stress and uncertainty. The empirical investigation is carried out in the context of the elastic-net regularization (ENET) approach and dynamic simulations of the autoregressive distributed lag (DYNARDL) model, with proper consideration to the potential presence of structural changes. From among 26 candidate variables, the ENET selects the clean technology market, public attention to clean energy, oil, and gold as the primary factors contributing the most to the behavior of clean-energy stock prices. The estimation results of the DYNARDL model suggest that the clean technology market and oil are vital determinants in the short and long run, while public attention and gold tend to affect clean-energy stock prices only in the short run. Furthermore, the respective magnitudes of influence of the four variables are larger in the short term than in the long term. Our findings offer practical implications for socially responsible investors and policymakers.
Author: Glachant, Jean-Michel
Publisher: Edward Elgar Publishing
ISBN: 1788979958
Category : Business & Economics
Languages : en
Pages : 672
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Book Description
With twenty-two chapters written by leading international experts, this volume represents the most detailed and comprehensive Handbook on electricity markets ever published.
Author: Douglas R. Bohi
Publisher: Johns Hopkins University Press
ISBN:
Category : History
Languages : en
Pages : 202
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Book Description
Estimating the demand for energy: issues and methodologies; Demand for electricity; Demand for natural gas; Demand for petroleum products; Demand for coal.
Author: Alain A. Vertes
Publisher: John Wiley & Sons
ISBN: 111915202X
Category : Science
Languages : en
Pages : 702
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Book Description
Reviews the latest advances in biofuel manufacturing technologies and discusses the deployment of other renewable energy for transportation Aimed at providing an interface useful to business and scientific managers, this book focuses on the key challenges that still impede the realization of the billion-ton renewable fuels vision. It places great emphasis on a global view of the topic, reviewing deployment and green energy technology in different countries across Africa, Asia, South America, the EU, and the USA. It also integrates scientific, technological, and business development perspectives to highlight the key developments that are necessary for the global replacement of fossil fuels with green energy solutions. Green Energy to Sustainability: Strategies for Global Industries examines the most recent developments in biofuel manufacturing technologies in light of business, financial, value chain, and supply chain concerns. It also covers the use of other renewable energy sources like solar energy for transportation and proposes a view of the challenges over the next two to five decades, and how these will deeply modify the industrial world in the third millennium. The coming of age of electric vehicles is also looked at, as is the impact of their deployment on the biomass to biofuels value chain. Offers extensive updates on the field of green energy for global industries Covers the structure of the energy business; chemicals and diesel from biomass; ethanol and butanol; hydrogen and methane; and more Provides an expanded focus on the next generation of energy technologies Reviews the latest advances in biofuel manufacturing technologies Integrates scientific, technological and business perspectives Highlights important developments needed for replacing fossil fuels with green energy Green Energy to Sustainability: Strategies for Global Industries will appeal to academic researchers working on the production of fuels from renewable feedstocks and those working in green and sustainable chemistry, and chemical/process engineering. It is also an excellent textbook for courses in bioprocessing technology, renewable resources, green energy, and sustainable chemistry.
