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Integrated Energy Management
Published in Barney L. Capehart, Lynne C. Capehart, Paul Allen, David Green, Web Based Enterprise Energy and Building Automation Systems, 2020
Although differing significantly in mission and energy usage patterns, these two case studies share a common approach. This unique energy management approach integrates energy supply management with energy demand management to help manage energy costs, consumption and risk. The IEM approach is facilitated by an energy information and control system (EICS). The EICS integrates energy metering, building management, load management and energy analysis tools in order to facilitate identification, development, measurement and verification of cost savings associated with the energy management program.
Energy Efficient Operating Strategies
Published in Frank R. Spellman, Fundamentals of Public Utilities Management, 2020
Energy demand management, also known as demand side management (DSM), is the modification of consumer (utility) demand for energy through various methods. DSM programs consist of the planning, implementing, and monitoring activities of electric utilities that are designed to encourage consumers to modify their level and pattern of electricity usage.
Modelling of household electricity consumption with the aid of computational intelligence methods
Published in Advances in Building Energy Research, 2018
Kostas Karatzas, Nikos Katsifarakis
A considerable number of households have been equipped with smart meters that allow for the continuous monitoring of the overall household electricity consumption (Deloitte, 2011; Uribe-Pérez, Hernández, de la Vega, & Angulo, 2016). In some cases, such meters are installed to monitor individual appliances or appliance groups within the same household, thus providing with additional information concerning their electricity consumption profiles. The ability to model the aforementioned consumption plays an important role in household energy demand management and optimization, as it may lead to energy savings and support smart city initiatives. This may also enhance electricity disaggregation, especially if it leads to the extraction of individual, appliance-oriented energy usage profiles, on the basis of household-based measurements (Armel, Gupta, Shrimali, & Albert, 2013).
Energy trade market effect on production scheduling: an Industrial Product-Service System (IPSS) approach
Published in International Journal of Computer Integrated Manufacturing, 2021
Dimitris Mourtzis, N. Boli, E. Xanthakis, K. Alexopoulos
Manufacturing scheduling for reducing energy costs is attracting increased interest. Energy-efficient scheduling of a manufacturing factory subject to real-time electricity pricing represents an important but challenging situation (Zhang, Zhao, and Sutherland 2015). The energy efficiency of manufacturing systems is a topic of high interest (Cataldo et al., 2015). The manufacturing industry faces new challenges, which are not successfully addressed by modern products and systems (Meier, Völker, and Funke 2011). In an industrial plant, manufacturing systems constitute the largest portion of its energy consumption. To this end, energy efficiency practices and services, which control the electricity demand and optimize the power consumption have been proposed. Industrial Energy Demand Management (EDM) encompasses systematic activities at the interplay between ESC and the industrial consumer aiming to change the amount and/or timing of energy usage (Zhang, Zhao, and Sutherland 2015). EDM activities on the industrial consumer side involve a reaction to energy price signals and adjustments in production leading to Energy Demand Flexibility (EDF). Advantages such as reduced consumption costs and greater accommodation of intermittent renewable energy sources are among the collateral benefits of EDF. Whereas energy efficiency aims to reduce the overall energy consumption, Energy Demand Response (EDR) is the shifting of energy consumption to a different point in time or to different resources (EURELECTRIC, 2017). There are two major complementary approaches to demand response: explicit and implicit schemes. In the first scheme, consumers receive a specific reward in exchange for their flexibility (e.g. free consultancy). In the second case, a reduction in the energy cost is offered.