Using random inquiry optimization method for provision of heat and cooling demand in hub systems for smart buildings
| Autor: | Noor H. Jabarullah, Ahmed F. Siddiqi, Muhammad Salman Shabbir, Stephen Berti, Mazhar Abbas |
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| Rok vydání: | 2019 |
| Předmět: |
Electric motor
Work (thermodynamics) Renewable Energy Sustainability and the Environment business.industry Computer science Geography Planning and Development 0211 other engineering and technologies Transportation 02 engineering and technology 010501 environmental sciences Grid 01 natural sciences Automotive engineering Energy storage Power (physics) Demand response 021108 energy business Energy (signal processing) 0105 earth and related environmental sciences Civil and Structural Engineering Building automation |
| Zdroj: | Sustainable Cities and Society. 47:101475 |
| ISSN: | 2210-6707 |
| DOI: | 10.1016/j.scs.2019.101475 |
| Popis: | A technique for planning the energy hub is proposed in this work that provides electrical, thermal and cooling demands with respective energies and managing the continuous and on/off controllable loads. Features of energy hub elements including the energy losses, cost of degradation in cooling, thermal and electrical energy storage and feasible operation region of the combined heat and power plants are comprehensively simulated. The presented equation is utilized on two different days in winter and summer considering different scenarios to investigate the effect of energy storage, selling power to the main grid, intelligent charge and discharge of vehicles with electric engine and managing the controllable loads. The results suggest that utilizing energy hub and managing loads has significant advantages in both user and main grid sides, and results in a flatter load curve in time of use demand response. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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