Optimal collaborative demand-response planner for smart residential buildings
| Autor: | Juan A. Gomez-Herrera, Miguel F. Anjos |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Operations research
Computer science Total cost 020209 energy 02 engineering and technology 010501 environmental sciences 01 natural sciences Outcome (game theory) Industrial and Manufacturing Engineering Demand response 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering 0105 earth and related environmental sciences Civil and Structural Engineering computer.programming_language Building automation business.industry Mechanical Engineering Building and Construction Energy consumption Planner Pollution General Energy Work (electrical) business computer Load shifting |
| Zdroj: | Gomez-herrera, J A & Anjos, M F 2018, ' Optimal collaborative demand-response planner for smart residential buildings ', Energy, vol. 161, pp. 370-380 . https://doi.org/10.1016/j.energy.2018.07.132 |
| ISSN: | 0360-5442 |
| Popis: | This work presents a collaborative scheme for the end-users in a smart building with multiple housing units. This approach determines a day-ahead operational plan that provides demand-response services by taking into account the amount of energy consumed per household, the use of shared storage and solar panels, and the amount of shifted load. We use a biobjective optimization model to trade off total user satisfaction versus total cost of energy consumption. The optimization works in combination with a price structure based on time and level of use that encourages load shifting and benefits the participants. Computational experiments and an extensive sensitivity analysis validate the performance of the proposed approach and help to clarify its strengths, its limits, and the requirements for ensuring the desired outcome. |
| Databáze: | OpenAIRE |
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