scholarly journals Demand-Side Energy Management in Smart Buildings: A Case Study

2021 ◽  
Vol 11 (2) ◽  
pp. 239-247
Author(s):  
Nazlı HASANOVA ◽  
Seçil VARBAK NEŞE
Keyword(s):  
Energy Management ◽  
Demand Side ◽  
Smart Buildings

scholarly journals Procuring load curtailment from local customers under uncertainty

2017 ◽  
Vol 375 (2100) ◽  
pp. 20160311 ◽  
Author(s):  
Aleksandar Mijatović ◽  
John Moriarty ◽  
Jure Vogrinc
Keyword(s):  
Energy Management ◽  
Probabilistic Modelling ◽  
Demand Side ◽  
Power Network ◽  
Flexible Approach ◽  
Simulation And Optimization ◽  
Load Curtailment ◽  
Demand Side Response ◽  
Modelling Simulation

Demand side response (DSR) provides a flexible approach to managing constrained power network assets. This is valuable if future asset utilization is uncertain. However there may be uncertainty over the process of procurement of DSR from customers. In this context we combine probabilistic modelling, simulation and optimization to identify economically optimal procurement policies from heterogeneous customers local to the asset, under chance constraints on the adequacy of the procured DSR. Mathematically this gives rise to a search over permutations, and we provide an illustrative example implementation and case study. This article is part of the themed issue ‘Energy management: flexibility, risk and optimization’.

scholarly journals Implementation of Advanced Demand Side Management for Microgrid Incorporating Demand Response and Home Energy Management System

2018 ◽  
Vol 3 (4) ◽  
pp. 50 ◽  
Author(s):  
Izaz Zunnurain ◽  
Md. Maruf ◽  
Md. Rahman ◽  
GM Shafiullah
Keyword(s):  
Energy Management ◽  
Demand Response ◽  
Energy Cost ◽  
Energy Savings ◽  
Energy Management System ◽  
Demand Side ◽  
Case Study Analysis ◽  
Home Energy Management ◽  
Home Energy Management System

To facilitate the possible technology and demand changes in a renewable-energy dominated future energy system, an integrated approach that involves Renewable Energy Sources (RES)-based generation, cutting-edge communication strategies, and advanced Demand Side Management (DSM) is essential. A Home Energy Management System (HEMS) with integrated Demand Response (DR) programs is able to perform optimal coordination and scheduling of various smart appliances. This paper develops an advanced DSM framework for microgrids, which encompasses modeling of a microgrid, inclusion of a smart HEMS comprising of smart load monitoring and an intelligent load controller, and finally, incorporation of a DR strategy to reduce peak demand and energy costs. Effectiveness of the proposed framework is assessed through a case study analysis, by investigation of DR opportunities and identification of energy savings for the developed model on a typical summer day in Western Australia. From the case study analysis, it is evident that a maximum amount of 2.95 kWh energy can be shifted to low demand periods, which provides a total daily energy savings of 3%. The total energy cost per day is AU$2.50 and AU$3.49 for a house with and without HEMS, respectively. Finally, maximum possible peak shaving, maximum shiftable energy, and maximum standby power losses and energy cost savings with or without HEMS have been calculated to identify the energy saving opportunities of the proposed strategy for a microgrid of 100 houses with solar, wind, and a back-up diesel generator in the generation side.

scholarly journals An Energy Management Optimization Method for Community Integrated Energy System Based on User Dominated Demand Side Response

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4398
Author(s):  
Yiqi Li ◽  
Jing Zhang ◽  
Zhoujun Ma ◽  
Yang Peng ◽  
Shuwen Zhao
Keyword(s):  
Energy Management ◽  
Demand Response ◽  
Value At Risk ◽  
Operating Cost ◽  
Optimization Method ◽  
Conditional Value At Risk ◽  
Demand Side ◽  
Scheduling Model ◽  
Management Optimization ◽  
Demand Side Response

With the development of integrated energy systems (IES), the traditional demand response technologies for single energy that do not take customer satisfaction into account have been unable to meet actual needs. Therefore, it is urgent to study the integrated demand response (IDR) technology for integrated energy, which considers consumers’ willingness to participate in IDR. This paper proposes an energy management optimization method for community IES based on user dominated demand side response (UDDSR). Firstly, the responsive power loads and thermal loads are modeled, and aggregated using UDDSR bidding optimization. Next, the community IES is modeled and an aggregated building thermal model is introduced to measure the temperature requirements of the entire community of users for heating. Then, a day-ahead scheduling model is proposed to realize the energy management optimization. Finally, a penalty mechanism is introduced to punish the participants causing imbalance response against the day-ahead IDR bids, and the conditional value-at-risk (CVaR) theory is introduced to enhance the robustness of the scheduling model under different prediction accuracies. The case study demonstrates that the proposed method can reduce the operating cost of the community under the premise of fully considering users’ willingness, and can complete the IDR request initiated by the power grid operator or the dispatching department.

scholarly journals Causal Relations of Upscaled Urban Aquaponics and the Food-Water-Energy Nexus—A Berlin Case Study

Water ◽  
2021 ◽  
Vol 13 (15) ◽  
pp. 2029
Author(s):  
Gösta F.M. Baganz ◽  
Manfred Schrenk ◽  
Oliver Körner ◽  
Daniela Baganz ◽  
Karel J. Keesman ◽  
...  
Keyword(s):  
Urban Areas ◽  
Causal Link ◽  
Supply Side ◽  
Demand Side ◽  
Annual Fish ◽  
Causal Relations ◽  
Water Energy Nexus ◽  
Facility Level ◽  
Predominant Effect

Aquaponics, the water-reusing production of fish and crops, is taken as an example to investigate the consequences of upscaling a nature-based solution in a circular city. We developed an upscaled-aquaponic scenario for the German metropolis of Berlin, analysed the impacts, and studied the system dynamics. To meet the annual fish, tomato, and lettuce demand of Berlin’s 3.77 million residents would require approximately 370 aquaponic facilities covering a total area of 224 hectares and the use of different combinations of fish and crops: catfish/tomato (56%), catfish/lettuce (13%), and tilapia/tomato (31%). As a predominant effect, in terms of water, aquaponic production would save about 2.0 million m3 of water compared to the baseline. On the supply-side, we identified significant causal link chains concerning the Food-Water-Energy nexus at the aquaponic facility level as well as causal relations of a production relocation to Berlin. On the demand-side, a ‘freshwater pescatarian diet’ is discussed. The new and comprehensive findings at different system levels require further investigations on this topic. Upscaled aquaponics can produce a relevant contribution to Berlin’s sustainability and to implement it, research is needed to find suitable sites for local aquaponics in Berlin, possibly inside buildings, on urban roofscape, or in peri-urban areas.

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