scholarly journals Numerical Analysis of a Residential Energy System that Integrates Hybrid Solar Modules (PVT) with a Heat Pump

Energies ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 96
Author(s):  
Len Rijvers ◽  
Camilo Rindt ◽  
Corry de Keizer
Keyword(s):  
Heat Pump ◽  
System Performance ◽  
Energy Demand ◽  
Residential Buildings ◽  
Residential Building ◽  
Weather Conditions ◽  
Initial Step ◽  
Energy System ◽  
System Parameters ◽  
Energetic Performance

Photovoltaic-thermal (PVT) collectors are hybrid solar collectors that convert solar and ambient energy into thermal and electrical energy. Integrated PVT-HP, in which PVT collectors are combined with a heat pump, offers an efficient and renewable option to replace conventional fossil fuel-based energy systems in residential buildings. Currently, system concepts in which the selection, design and control of the components are aligned towards the system performance are lacking. The development of a system model enables the comparison of a variety of system parameters and system designs, informed decision making based on the energetic performance and the market diffusion of PVT-HP systems. This contribution presents a simulation model of a PVT-HP system. By means of numerical simulations, with simulation program TRNSYS, the energetic performance of a PVT-HP system and the system components are investigated. It is shown that the PVT-HP can cover the annual energy demand of a residential building. The corresponding Seasonal Performance Factor (SPF) is equal to 3.6. Furthermore, the effect of varying weather conditions, occupancy and building orientations on the performance of the reference system is analyzed. The SPF for the investigated scenarios varies between 3.0 and 3.9. Lastly, two system parameters, the PVT collector area, and the PVT collector type are varied as an initial step in the optimization of the system performance. To sum up, the presented PVT-HP model is suitable for dynamic system simulation and the exploration of the system concepts. The simulation study shows that a PVT-HP system can cover the annual energy demand of a residential building. Lastly, parametric variations showcase the optimization potential of PVT-HP systems.

Study on Ground Source Heat Pump System of Combined Office and Residential Building in Hot Summer and Warm Winter Region

2013 ◽  
Vol 732-733 ◽  
pp. 564-570 ◽  
Author(s):  
Ying Ning Hu ◽  
Ya Zhao Liu ◽  
Jun Lin ◽  
Yan Wang
Keyword(s):  
Heat Pump ◽  
Heat Balance ◽  
System Performance ◽  
Residential Buildings ◽  
Residential Building ◽  
Ground Source Heat Pump ◽  
Pump System ◽  
Heat Pump System ◽  
Warm Winter ◽  
Ground Source

A ground source heat pump system of combined office and residential buildings in hot summer and warm winter region is introduced. The system performance is studied through the experiment, and the performance of underground heat balance is analyzed by TRNSYS. The results show the superiority and applicability of the ground source heat pump system.

scholarly journals Experimental Long-Term Investigation of Model Predictive Heat Pump Control in Residential Buildings with Photovoltaic Power Generation

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 6016
Author(s):  
Sebastian Kuboth ◽  
Theresa Weith ◽  
Florian Heberle ◽  
Matthias Welzl ◽  
Dieter Brüggemann
Keyword(s):  
Model Predictive Control ◽  
Heat Pump ◽  
Predictive Control ◽  
Energy Demand ◽  
Residential Buildings ◽  
Global Radiation ◽  
Measurement Data ◽  
Weather Conditions ◽  
Coefficient Of Performance ◽  
Measurement Results

This article presents a 125-day experiment to investigate model predictive heat pump control. The experiment was performed in two parallel operated systems with identical components during the heating season. One of the systems was operated by a standard controller and thus represented a reference to evaluate the model predictive control. Both test rigs were heated by an air-source heat pump which is influenced by real weather conditions. A single-family house model depending on weather measurement data ensured a realistic heat consumption in the test rigs. The adapted model predictive control algorithm aimed to minimize the operational costs of the heat pump. The evaluation of the measurement results showed that the electrical energy demand of the heat pump can be reduced and the coefficient of performance can be increased by applying the model predictive controller. Furthermore, the self-consumption of photovoltaic electricity, which is calculated by means of a photovoltaic model and global radiation measurement data, was more than doubled. Consequently, the energy costs of heat pump operation were reduced by 9.0% in comparison to the reference and assuming German energy prices. The results were further compared to the scientific literature and short-term measurements were performed with the same experimental setup. The dependence of the measurement results on the weather conditions and the weather forecasting quality are shown. It was found that the duration of experiments should be as long as possible for a comprehensive evaluation of the model predictive control potential.

Thermoeconomic Optimization of a Seawater Source Heat Pump System for Residential Buildings

2011 ◽  
Vol 354-355 ◽  
pp. 794-797 ◽  
Author(s):  
Zhi Gang Shi ◽  
Zhuo Li
Keyword(s):  
Heat Pump ◽  
Residential Buildings ◽  
Residential Building ◽  
Weather Conditions ◽  
Production Costs ◽  
Pump System ◽  
Heat Pump System ◽  
Optimum Result ◽  
Heating And Cooling ◽  
Attractive Option

A seawater source heat pump (SWHP) system offer an attractive option for heating and cooling residential and commercial buildings owing to their higher energy efficiency compared with conventional systems. A thermoeconomic model was developed for analysis and optimization of SWHP with residential building. The thermodynamic and thermoeconomic optimum result for SWHP in the Qingdao, china, weather conditions were obtained using MATLAB optimization toolbox. The thermoeconomic optimization results show exergy loss and EER increasing by 22.7% and 13.9% respectively, but annual production costs reduce by 29.1%.

scholarly journals Overheating Risk and Energy Demand of Nordic Old and New Apartment Buildings during Average and Extreme Weather Conditions under a Changing Climate

2021 ◽  
Vol 11 (9) ◽  
pp. 3972
Author(s):  
Azin Velashjerdi Farahani ◽  
Juha Jokisalo ◽  
Natalia Korhonen ◽  
Kirsti Jylhä ◽  
Kimmo Ruosteenoja ◽  
...  
Keyword(s):  
Climate Change ◽  
Energy Demand ◽  
Energy Use ◽  
Residential Buildings ◽  
Weather Conditions ◽  
Extreme Weather ◽  
Living Room ◽  
Extra Energy ◽  
Cooling Unit ◽  
Indoor Conditions

The global average air temperature is increasing as a manifestation of climate change and more intense and frequent heatwaves are expected to be associated with this rise worldwide, including northern Europe. Summertime indoor conditions in residential buildings and the health of occupants are influenced by climate change, particularly if no mechanical cooling is used. The energy use of buildings contributes to climate change through greenhouse gas emissions. It is, therefore, necessary to analyze the effects of climate change on the overheating risk and energy demand of residential buildings and to assess the efficiency of various measures to alleviate the overheating. In this study, simulations of dynamic energy and indoor conditions in a new and an old apartment building are performed using two climate scenarios for southern Finland, one for average and the other for extreme weather conditions in 2050. The evaluated measures against overheating included orientations, blinds, site shading, window properties, openable windows, the split cooling unit, and the ventilation cooling and ventilation boost. In both buildings, the overheating risk is high in the current and projected future average climate and, in particular, during exceptionally hot summers. The indoor conditions are occasionally even injurious for the health of occupants. The openable windows and ventilation cooling with ventilation boost were effective in improving the indoor conditions, during both current and future average and extreme weather conditions. However, the split cooling unit installed in the living room was the only studied solution able to completely prevent overheating in all the spaces with a fairly small amount of extra energy usage.

scholarly journals LIFE CYCLE ASSESSMENT OF TECHNICAL BUILDING SERVICES OF LARGE RESIDENTIAL BUILDING STOCKS USING SEMANTIC 3D CITY MODELS

2020 ◽  
Vol VI-4/W1-2020 ◽  
pp. 85-92
Author(s):  
H. Harter ◽  
B. Willenborg ◽  
W. Lang ◽  
T. H. Kolbe
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Energy Demand ◽  
Residential Buildings ◽  
Residential Building ◽  
Building Stock ◽  
3D City Models ◽  
Methodical Approach ◽  
Operational Energy ◽  
City Models

Abstract. Reducing the demand for non-renewable resources and the resulting environmental impact is an objective of sustainable development, to which buildings contribute significantly. In order to realize the goal of reaching a climate-neutral building stock, it must first be analyzed and evaluated in order to develop optimization strategies. The life cycle based consideration and assessment of buildings plays a key role in this process. Approaches and tools already exist for this purpose, but they mainly take the operational energy demand of buildings and not a life cycle based approach into account, especially when assessing technical building services (TBS). Therefore, this paper presents and applies a methodical approach for the life cycle based assessment of the TBS of large residential building stocks, based on semantic 3D city models (CityGML). The methodical approach developed for this purpose describes the procedure for calculating the operational energy demand (already validated) and the heating load of the building, the dimensioning of the TBS components and the calculation of the life cycle assessment. The application of the methodology is illustrated in a case study with over 115,000 residential buildings from Munich, Germany. The study shows that the methodology calculates reliable results and that a significant reduction of the life cycle based energy demand can be achieved by refurbishment measures/scenarios. Nevertheless, the goal of achieving a climate-neutral building stock is a challenge from a life cycle perspective.

Development of a dynamic European residential building stock typology for energy system analysis

2021 ◽  
Author(s):  
Max Kleinebrahm ◽  
Elias Naber ◽  
Jann Weinand ◽  
Russell McKenna ◽  
Armin Ardone
Keyword(s):  
System Analysis ◽  
Residential Building ◽  
Weather Conditions ◽  
Energy System ◽  
Data Sets ◽  
European Level ◽  
Residential Energy ◽  
Building Stock ◽  
Energy System Analysis ◽  
Framework Conditions

<p>In recent years, different approaches have been developed with the aim of defining representative buildings that can be used as a basis for residential building energy system analyses. Due to the coupling of different sectors at the household level, the analysis of future residential energy systems is becoming increasingly complex. On the European level a large amount of data has been published over the last years. This study combines multiple different data sets relevant for energy system analysis at the building level and presents a dynamic methodology for the derivation of representative building/household combinations, which can be used as a basis for residential energy system analyses on a European level. The approach enables representative buildings to be generated dynamically taking into account the parameters relevant to the respective research question. In a first step, various data sets are combined to describe local building properties, weather conditions, economic and ecological framework conditions as well as socio-demographic parameters on NUTS3 level. Based on the developed database, a two-step procedure for the derivation of building household combinations is presented. In the first step, a synthetic European population is generated by using iterative proportional fitting. In the second step different cluster approaches are compared for the derivation of case specific archetype buildings. Finally, the developed methodology is used in an exemplary way for the analysis of the potential of energy self-sufficient single-family buildings in the future European building stock by using a mixed integer linear programming optimization model for the optimal energy system design and dispatch of residential buildings, taking into account relevant framework conditions such as weather conditions, regulatory framework conditions and site-specific building properties.</p>

scholarly journals A European Database of Building Energy Profiles to Support the Design of Ground Source Heat Pumps

Energies ◽  
2019 ◽  
Vol 12 (13) ◽  
pp. 2496 ◽  
Author(s):  
Laura Carnieletto ◽  
Borja Badenes ◽  
Marco Belliardi ◽  
Adriana Bernardi ◽  
Samantha Graci ◽  
...  
Keyword(s):  
Heat Pump ◽  
Energy Demand ◽  
Residential Buildings ◽  
Building Energy ◽  
Heat Pumps ◽  
Climatic Conditions ◽  
Ground Source Heat Pumps ◽  
Heating And Cooling ◽  
Energy Profiles ◽  
Ground Source

The design of ground source heat pumps is a fundamental step to ensure the high energy efficiency of heat pump systems throughout their operating years. To enhance the diffusion of ground source heat pump systems, two different tools are developed in the H2020 research project named, “Cheap GSHPs”: A design tool and a decision support system. In both cases, the energy demand of the buildings may not be calculated by the user. The main input data, to evaluate the size of the borehole heat exchangers, is the building energy demand. This paper presents a methodology to correlate energy demand, building typologies, and climatic conditions for different types of residential buildings. Rather than envelope properties, three insulation levels have been considered in different climatic conditions to set up a database of energy profiles. Analyzing European climatic test reference years, 23 locations have been considered. For each location, the overall energy and the mean hourly monthly energy profiles for heating and cooling have been calculated. Pre-calculated profiles are needed to size generation systems and, in particular, ground source heat pumps. For this reason, correlations based on the degree days for heating and cooling demand have been found in order to generalize the results for different buildings. These correlations depend on the Köppen–Geiger climate scale.

scholarly journals Study on Multi-Objective Optimization-Based Climate Responsive Design of Residential Building

Algorithms ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 238
Author(s):  
Zhixing Li ◽  
Paolo Vincenzo Genovese ◽  
Yafei Zhao
Keyword(s):  
Energy Demand ◽  
Thermal Environment ◽  
Residential Buildings ◽  
Optimal Solution ◽  
Residential Building ◽  
The Public ◽  
Private Households ◽  
Design Variables ◽  
Global Cost ◽  
Responsive Design

This paper proposes an optimization process based on a parametric platform for building climate responsive design. Taking residential buildings in six typical American cities as examples, it proposes thermal environment comfort (Discomfort Hour, DH), building energy demand (BED) and building global cost (GC) as the objective functions for optimization. The design variables concern building orientation, envelope components, and window types, etc. The optimal solution is provided from two different perspectives of the public sector (energy saving optimal) and private households (cost-optimal) respectively. By comparing the optimization results with the performance indicators of the reference buildings in various cities, the outcome can give the precious indications to rebuild the U.S. residential buildings with a view to energy-efficiency and cost optimality depending on the location.

A Software Optimization of the Solar Energy System Performance

2014 ◽  
Vol 899 ◽  
pp. 199-204
Author(s):  
Lukáš Skalík ◽  
Otília Lulkovičová
Keyword(s):  
Solar System ◽  
Solar Energy ◽  
System Performance ◽  
Solar Collector ◽  
Energy Demand ◽  
Fossil Fuels ◽  
Thermal Protection ◽  
Energy Systems ◽  
Energy System ◽  
Hot Water

The energy demand of buildings represents in the balance of heat use and heat consumption of energy complex in the Slovak national economy second largest savings potential. Their complex energy demands is the sum of total investment input to ensure thermal protection and annual operational demands of particular energy systems during their lifetime in building. The application of energy systems based on thermal solar systems reduces energy consumption and operating costs of building for support heating and domestic hot water as well as savings of non-renewable fossil fuels. Correctly designed solar energy system depends on many characteristics, i. e. appropriate solar collector area and tank volume, collector tilt and orientation as well as quality of used components. The evaluation of thermal solar system components by calculation software shows how can be the original thermal solar system improved by means of performance. The system performance can be improved of more than 31 % than in given system by changing four thermal solar system parameters such as heat loss coefficient and aperture area of used solar collector, storage tank volume and its height and diameter ratio.

scholarly journals Energy efficiency and economic analysis of retrofit measures for single-family residential buildings

2019 ◽  
Vol 23 (3 Part B) ◽  
pp. 2071-2084 ◽  
Author(s):  
Norbert Harmathy ◽  
Danijela Urbancl ◽  
Darko Goricanec ◽  
Zoltán Magyar
Keyword(s):  
Energy Efficiency ◽  
Economic Evaluation ◽  
Low Temperature ◽  
Economic Analysis ◽  
Energy Demand ◽  
Residential Buildings ◽  
Residential Building ◽  
Expanded Polystyrene ◽  
Temperate Climate ◽  
Single Family

The research elaborates various solutions using detailed economic evaluation and energy efficiency calculation and simulation technology for formulating applicable, energy and cost-efficient retrofit solutions of single-family residential buildings located in temperate climate areas. Primarily the annual energy demand for a reference existing single-family residential building was determined. The economic analysis was performed for six formulated refurbishment scenarios in order to determine which of the scenarios will demonstrate optimal performance both in energy and cost efficiency. A feasibility study was performed for the most efficient scenario, which included an economic evaluation of low temperature radiant heating systems were three energy suppliers (oil, natural gas and electricity for air to water heat pump) were compared. According to financial analyses the optimal scenario includes the replacement of windows, installation of 15 cm expanded polystyrene thermal insulation, low temperature radiant floor heating, with a payback period of ten years.

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