MPC-based optimal scheduling of grid-connected low energy buildings with thermal energy storages

Zhao, Yang; Lu, Yuehong; Yan, Chengchu; Wang, Shengwei

doi:10.1016/j.enbuild.2014.10.019

Cited by 146 publications

(58 citation statements)

References 27 publications

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“…On/off-site DRE integration into buildings and small communities is a promising technology for DSM. Various hybrid DREs are presented in [14,15,16,17,18,19,20], though much of the success achieved so far is in the sizing and system design. More effort and research are required to integrate these DREs optimally into energy-efficient household loads (e.g.…”

Section: Introductionmentioning

confidence: 99%

Optimal control of a wind–PV-hybrid powered heat pump water heater

2017

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This paper develops an optimal control (OC) model of a heat pump water heater (HPWH) supplied by a wind generator-photovoltaic-grid system. The objective function is energy cost minimization, taking into account the time-of-use electricity tariff (TOU), which is an important control parameter. The control variables are the supply switch to the HPWH and the power from the grid, while the hot water temperature inside the tank is the state variable. The model meets both the HPWH's technical and operational constraints in providing hot water at a desired temperature and achieves load shifting. This problem is solved using a mixed integer linear program. The results show a 70.7% cost reduction upon implementation of this intervention. A case study is done and the OC shows significant potential in energy and cost saving when compared to the digital thermostat controller used currently in most HPWHs. The economic analysis is presented in this paper as well. Nomenclature P w (t) wind generator power output (kW) P pv (t) photovoltaic power output (kW) P g (t)grid power (kW) P hp heat pump water heater power demand (kW) COP coefficient of performance u(t) heat pump power supply switch control variable (0 or 1) T (t) hot water temperature inside the tank ( • C) T low and T up lower and upper hot water temperature set points (

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Section: Introductionmentioning

confidence: 99%

Optimal control of a wind–PV-hybrid powered heat pump water heater

2017

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“…There are also considerable studies conducted on MPC-based optimal scheduling of energy storage systems [128,129] and/or distribute energy generation systems [97,130,131]. Zhao et al [130] and Lu et al [96] adopted the MPC method, using nonlinear programming algorithm and mixed-integer nonlinear programming respectively, to optimize the operation of integrated energy systems in low energy buildings under day-ahead electricity price.…”

Section: Scheduling and Model Predictive Control Methodsmentioning

confidence: 99%

Design optimization and optimal control of grid-connected and standalone nearly/net zero energy buildings

2015

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“…[5] -Take into account the impact of different equipment on the operational cost of the BIES -Cooling load is not considered -No detailed discussion on equipment [6,7] -Improve the optimization method of micro-grid -Cooling load is not considered [8] -propose the framework of NZEB -Lack of study case [9] -Take into account the factor of comfort when optimizing the BIES -Take room temperature as a factor -The fact that human beings are heat sources is not considered.…”

Section: Paper Pros Consmentioning

confidence: 99%

“…Reference [5] improved the efficiency of energy consumption and reduced the operation cost by coordinating the energy contributions of different energy units within the BIES. References [6,7] …”

Section: Introductionmentioning

confidence: 99%

Optimized Daily Dispatching Strategy of Building- Integrated Energy Systems Considering Vehicle to Grid Technology and Room Temperature Control

Wang

Tang²,

Chen

et al. 2018

Energies

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Abstract:With the development of vehicle-to-grid (V2G) technology, electric vehicles (EVs) are not only a promising transportation solution, but also can be used as mobile energy storage and spinning reserves, which play an important role in building-integrated energy systems (BIESs) and can further promote energy efficiency. Considering the space-time characteristics of EVs and the room temperature demand, this study establishes a planning model using V2G technology to minimize daily dispatch cost. Four kinds of control modes were proposed, combining the technology of the resident-owned and staff-owned EVs, in combination with the internal heating and power supply system. In this paper, the operating state of the system and the interaction of the equipment are analyzed under different charging and discharging control modes of EVs. The economics of the microgrid of the comprehensive energy building under four control modes are also discussed. Simulation results indicate that the combined control mode of residential vehicle and office vehicle is optimal for building an integrated energy microgrid, and the room temperature requirements can also be used as an important income source for building the microgrid.

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MPC-based optimal scheduling of grid-connected low energy buildings with thermal energy storages

Cited by 146 publications

References 27 publications

Optimal control of a wind–PV-hybrid powered heat pump water heater

Optimal control of a wind–PV-hybrid powered heat pump water heater

Design optimization and optimal control of grid-connected and standalone nearly/net zero energy buildings

Optimized Daily Dispatching Strategy of Building- Integrated Energy Systems Considering Vehicle to Grid Technology and Room Temperature Control

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