Innovative alternative solar thermal solutions for housing in conservation-area sites listed as national heritage assets

Cristofari, Christian; Norvaišienė, Rosita; Canaletti, Jean-Louis; Notton, Gilles

doi:10.1016/j.enbuild.2014.12.038

Cited by 25 publications

(11 citation statements)

References 9 publications

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“…It is evident from (15 ) that temperature variation of the indoor air and building envelope is delayed and reduced to a certain extent due to the thermal inertia of buildings [9 ]. In this paper, an equivalent thermal parameters (ETP) model is utilised to describe the above heat transfer processes [24, 25 ], which is depicted in Fig. 5.…”

Section: Models Of the Heat Pump Heating System And Building Heat Loadmentioning

confidence: 99%

User-friendly rolling control strategy for a heat pump heating system considering building thermal inertia

Meng

et al. 2020

IET Energy Systems Integration

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Section: Models Of the Heat Pump Heating System And Building Heat Loadmentioning

confidence: 99%

User-friendly rolling control strategy for a heat pump heating system considering building thermal inertia

Meng

et al. 2020

IET Energy Systems Integration

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“…According to the conservation of energy, the variation of the heat of indoor air has the following thermal equilibrium equation [19], [20]:…”

Section: A Virtual Energy Storage Model Of Air Conditioning Loadsmentioning

confidence: 99%

“…Considering the influence of the angle of actual solar radiation and the orientation of the windows of different buildings on the indoor temperature, the value of Sc is set to 0.45, the value of air density is 1.2 kg/m 3 , and the value of the specific heat capacity of air is 1000 J/(kg. • C) [20]. The variation curves for the thermal power of objects in the buildings are shown in Fig.…”

Section: Simulation Analysis a Basic Datamentioning

confidence: 99%

Optimal Scheduling Method for a Regional Integrated Energy System Considering Joint Virtual Energy Storage

et al. 2019

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Energy storage equipment is an important part of integrated energy systems, but the construction and operational costs of it are great. Therefore, it's difficult to apply energy storage equipment on a large scale. As an alternative measure, adjusting controllable loads including electric vehicles (EVs) and air conditioning loads jointly can transfer loads across time periods and reduce variation difference between heat and electric loads. These controllable loads can be regarded as ''virtual energy storage system''. Managing the charging of EVs and heat storage of buildings, a joint virtual energy storage system including electric energy storage and thermal energy storage is proposed in this paper. Then, these models are integrated into a scheduling model for regional integrated energy system (RIES). The charging/discharging power management of joint virtual energy storage systems can be realized by arranging the charging of EVs based on vehicle-driven rules and by adjusting building indoor temperatures within the temperature comfort range. Finally, simulations are carried out to demonstrate the effectiveness of the scheduling method. Simulation results show that the RIES optimal scheduling model considering joint virtual energy storage can reduce operational costs. The stability of RIES is improved with the combination of virtual electrical and thermal energy storage. INDEX TERMS Virtual energy storage, regional integrated energy system, economic dispatching, heat storage capability of building, ordered charging of electric vehicles. LEI CHEN (M'12) was born in Jingzhou, China, in 1982. He received the B.S. and Ph.D. degrees in electrical engineering from the School of Electrical and Electronic Engineering, Huazhong Uni

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“…Considering a summer cooling scenario, a building is modelled as a single isothermal air volume [32]. The mathematical relationship among the indoor temperature, cooling demand and outdoor temperature is formulated to investigate the thermal performance of a building by using the building thermal equilibrium equation, as shown in the following equation [33]:…”

Section: Components Modelling 221 Building Modelmentioning

confidence: 99%

ρ \times C \times V \times \frac{normald T_{in}}{normald t} = {\dot{Q}}_{wall} + {\dot{Q}}_{win} + {\dot{Q}}_{in} + {\dot{Q}}_{s w} + {\dot{Q}}_{sg} - {\dot{Q}}_{EC}

(i)

{\dot{Q}}_{wall}

is calculated by summing the contribution of each wall of a building, as shown in (2). The roof of a building is accounted for as part of the external walls [34].…”

Section: Configuration and Modelling Of An Bimmentioning

confidence: 99%

Scheduling distributed energy resources and smart buildings of a microgrid via multi‐time scale and model predictive control method

Jin

Jiang

et al. 2018

IET Renewable Power Generation

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Zening 2019. Scheduling distributed energy resources and smart buildings of a microgrid via multi-time scale and model predictive control method. IET Renewable Power Generation 13 (6) , pp.Abstract: To schedule the distributed energy resources (DERs) and smart buildings of a Microgrid in an optimal way and consider the uncertainties associated to forecasting data, a two-stage scheduling framework is proposed in this paper. In stage I, a day-ahead dynamic optimal economic scheduling method is proposed to minimise the daily operating cost of the Microgrid. In stage II, a model predictive control based intra-hour adjustment method is proposed to reschedule the DERs and smart buildings to cope with the uncertainties. A virtual energy storage system is modelled and scheduled as a flexible unit using the inertia of building in both stages. The underlying electric network and the associated power flow and system operational constraints of the Microgrid are considered in the proposed scheduling method. Numerical studies demonstrate that the proposed method can reduce the daily operating cost in stage I and smooth the fluctuations of the electric tie-line power of the Microgrid caused by the day-ahead forecasting errors in stage II. Meanwhile, the fluctuations of the electric tieline power with the MPC based strategy are better smoothed compared with the traditional open-loop and single-period based optimisation methods, which demonstrates better performance of the proposed scheduling method in a time-varying context.

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Innovative alternative solar thermal solutions for housing in conservation-area sites listed as national heritage assets

Cited by 25 publications

References 9 publications

User-friendly rolling control strategy for a heat pump heating system considering building thermal inertia

User-friendly rolling control strategy for a heat pump heating system considering building thermal inertia

Optimal Scheduling Method for a Regional Integrated Energy System Considering Joint Virtual Energy Storage

Scheduling distributed energy resources and smart buildings of a microgrid via multi‐time scale and model predictive control method

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