Design of Heat-Pump Systems for Single- and Multi-Family Houses using a Heuristic Scheduling for the Optimization of PV Self-Consumption

Kemmler, Thomas; Thomas, Bernd

doi:10.3390/en13051118

Cited by 17 publications

(12 citation statements)

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“…The main conclusion of the research is that minimizing the net load variability implies increasing the PV self-consumption and reducing the peak loads [25]. Kemmler and Thomas using a heuristic scheduling optimize system of HP and PV in order to achieve a high level of SC [26]. The results show that intelligent control algorithm allows to obtain SC values from 25.3% to 41.0% during a year [26].…”

Section: Introductionmentioning

confidence: 99%

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Increasing Energy Self-Consumption in Residential Photovoltaic Systems

Pater¹

2023

Preprint

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Nowadays Air-Source Heat Pumps (ASHP) in combination with a Photovoltaic (PV) installation are a very promising option for a necessary and urgent energy transformation in European Union (EU). It is extremely important to develop solutions that will help maximize the use of energy generated from renewable energy sources (RES). Such issues include the problem of insufficient use of generated electricity in PV on-grid microinstallations in residential buildings. This paper's aim is to analyze the results of one-year-round operation of a PV array grid-connected hybrid installation with ASHP for domestic hot water (DHW) preparation in a residential building in Cracow, Poland in the context of increasing self-consumption (SC) of PV energy. Models of systems are built and simulated in Transient System Simulation Tool 18 (TRNSYS) software. Simulations were carried out for different scenarios involving different building electricity consumption profiles, PV system capacity and specified runtime management of ASHP. The novelty of this study lies in the evaluation of the impact of a certain range of conditions on the energy performance of the system, in particular on SC. The results showed that the use of ASHP, with specified runtime management, results in an increase in monthly SC values from 7 to 18%, and annual SC values up to 13%. Also determining the appropriate size of the used PV system depending on whether it is present ASHP in the installation is crucial to increase the value of the SC parameter. Overall, this study provides valuable insights into the potential benefits of PV panels and ASHP operating together, in particular on SC values.

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Section: Introductionmentioning

confidence: 99%

“…Kemmler and Thomas using a heuristic scheduling optimize system of HP and PV in order to achieve a high level of SC [26]. The results show that intelligent control algorithm allows to obtain SC values from 25.3% to 41.0% during a year [26].…”

Section: Introductionmentioning

confidence: 99%

Increasing Energy Self-Consumption in Residential Photovoltaic Systems

Pater¹

2023

Preprint

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“…To reduce these CO 2 emissions, electrification of the residential building heating sector is vital. Inhere, heat pumps (HPs) and photovoltaic systems (PVs) are essential technologies [2][3][4][5]. Heat pumps are able to provide space heating (SH) and domestic hot water (DHW) using electrical energy.…”

Section: Introductionmentioning

confidence: 99%

Heat Pump Systems with Photovoltaics: Influence of the Control Strategy on the Optimal Design

Wüllhorst

Reuter-Schniete

Maier

et al. 2023

36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 20

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Electrifying the heat supply of buildings is key to mitigate climate change. Inhere, photovoltaic and heat pump systems are promising technologies. Studies indicate that an increase in self-consumption is economically beneficial. Coupling photovoltaic with heat pump systems enables the aspired increase of self-consumption, especially in combination with thermal energy storages. The coupling of the systems is influenced by the control strategies, for which rule-based and model predictive-based approaches exist. Research finds that optimal control methods heavily depend on the system design and vice versa. Contrary to these interdependencies, current design guidelines neglect a possible influence of photovoltaics on the design of the heat pump system. To analyze a possible influence on the optimal heat pump system design, we apply nonlinear, dynamic simulation-based optimization to find the optimal design of the heat pump system for three different cases: no photovoltaic, no supervisory control, and a state-of-the-art supervisory control. The model consists of the whole building energy system, including the building envelope, radiators, a heat pump, a photovoltaic, and a grid connection. The dynamic simulation covers a whole year. To obtain generalizable results, we conduct optimizations for varying boundary conditions, including changes in weather and photovoltaic roof area. Consistent over all boundary conditions, results indicate that cost optimal heat pump system design does not change for current price assumptions. However, maximizing the thermal energy storage is vital to obtain maximal costs savings compared to the case with no photovoltaic system. Thus, for different price assumptions, the optimal design will change.

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“…Fossil fuel shortage and the increase of environmental pollution caused by the transport and power sectors have become serious global issues [1,2]. Therefore, the need for a more effective way to reduce fuel dependency and environmental pollution reduction has led to the emerging of renewable energy technologies and electric vehicles (EVs) in the power and transport sectors, respectively [3][4][5]. However, production instability of variable renewables such as wind power and solar photovoltaics and intermittent charging patterns of EVs can lead to several problems in the power grid such as growing demand peaks, voltage fluctuations, high load variability, and over-generation [6,7].…”

Section: Introductionmentioning

confidence: 99%

Two-Stage Energy Management Strategy of EV and PV Integrated Smart Home to Minimize Electricity Cost and Flatten Power Load Profile

2020

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The efficient use of the incorporation of photovoltaic generation (PV) and an electric vehicle (EV) with the home energy management system (HEMS) can play a significant role in improving grid stability in the residential area and bringing economic benefit to the homeowner. Therefore, this paper presents an energy management strategy in a smart home that integrates an electric vehicle with/without PV generation. The proposed strategy seeks to reduce the household electricity costs and flatten the load curve based on time-of-use pricing, time-varying household power demand, PV generation profile, and EV parameters (arrival and departure times, minimum and maximum limit of the state-of-charge, and initial state-of-charge). The proposed control strategy is divided into two stages: Stage A, which operates in three operating modes according to the unavailability of PV power generation, and Stage B, which operates in five operating modes according to the availability of PV generation. In this study, the proposed strategy enables controlling the amount of energy absorbed by the EV from the grid and/or PV and the amount of energy injected from the EV to the load to ensure that the household electricity costs are minimized, and the household power load profile is flattened. The findings show that both household electricity costs reduction and flattening of the power load profile are achieved. Moreover, the corresponding simulation results exhibit that the proposed strategy for the smart home with EV and PV provides better results than the smart home with EV and without PV in terms of electricity costs reduction and power load profile flattening.

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Design of Heat-Pump Systems for Single- and Multi-Family Houses using a Heuristic Scheduling for the Optimization of PV Self-Consumption

Cited by 17 publications

References 15 publications

Increasing Energy Self-Consumption in Residential Photovoltaic Systems

Increasing Energy Self-Consumption in Residential Photovoltaic Systems

Heat Pump Systems with Photovoltaics: Influence of the Control Strategy on the Optimal Design

Two-Stage Energy Management Strategy of EV and PV Integrated Smart Home to Minimize Electricity Cost and Flatten Power Load Profile

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