scholarly journals Validated Modelica Building Package for Energy Performance Simulation for Educational and Teaching Purposes

2016 ◽  
Author(s):  
Shan Hua ◽  
Fabian Reuß ◽  
Manuel Lindauer ◽  
Jochen Stopper ◽  
Christoph van Treeck
Keyword(s):  
Energy Performance ◽  
Performance Simulation

scholarly journals Comparative energy performance simulation for passive and conventional design: A case study in Cairo, Egypt

2020 ◽  
Vol 6 ◽  
pp. 699-704 ◽  
Author(s):  
S. Mahmoud ◽  
M. Fahmy ◽  
M. Mahdy ◽  
I. Elwy ◽  
M. Abdelalim
Keyword(s):  
Energy Performance ◽  
Performance Simulation ◽  
Conventional Design

scholarly journals Energy Rehabilitation of Social Housing in Vulnerable Areas. Case study: a 1950s Building in a Medium-sized Mediterranean City

2019 ◽  
Vol 4 (1) ◽  
pp. 44
Author(s):  
Ruá María José ◽  
Huedo Patricia ◽  
Cabeza Manuel ◽  
Saez Beatriz ◽  
Civera Vicente
Keyword(s):  
Low Income ◽  
Social Housing ◽  
Urban Areas ◽  
Optimal Solution ◽  
Energy Performance ◽  
Urban Context ◽  
Building Stock ◽  
Performance Simulation ◽  
Urban Level

In the urban context, buildings play a key role as they are energy consumers. In well-established cities with a high percentage of aged building stock, the focus should lie on sensitive urban areas where the weakest population sectors and the worst physico-economic conditions are usually encountered. In this work, the energy refurbishment of social housing is proposed. A block of municipally owned buildings is selected as a case study to consider that public buildings play an exemplary role according to Directive 2012/27/EU. The group is formed by 12 buildings, which account for 120 dwellings.This study is grounded on two levels. First the urban level. The building is located in a prioritised urban Area of Rehabilitation, Renovation and Urban Regeneration (ARRU), according to the new local Land Plan. This area presents multidimensional vulnerability and considers urban, building, socio-demographic and socio-economic features. Second, the building presents very low energy performance. It was built in 1959 when a high demand of dwellings and the economic resources then available led to low-quality buildings that are far from meeting today’s standards.Some proposals are made, having in mind the specific features of the urban context. The energy refurbishment of the building is proposed, selecting the optimal solution, considering technical, environmental and economic criteria. The energy performance simulation shows a remarkable improvement of the energy performance, resulting in an improvement of the thermal comfort of the dwellers. Besides, a reduction in the energy consumption is reached, which would reduce the energy bills and, on the other hand, a reduction of the carbon emissions to the atmosphere, contributing to a better environment quality. Having in mind that the building is intended for social housing, energy poverty situations could be avoided, as dwellings are inhabited by low-income dwellers.

scholarly journals BUILDING SURVEY AND ENERGY MODELLING: AN INNOVATIVE RESTORATION PROJECT FOR CASA DEL FASCIO IN COMO

2019 ◽  
Vol XLII-2/W11 ◽  
pp. 331-338
Author(s):  
A. Buda ◽  
S. Mauri
Keyword(s):  
Site Investigation ◽  
Energy Performance ◽  
Performance Simulation ◽  
Sustainable Building ◽  
Energy Modelling ◽  
Improvement Interventions ◽  
Definition Of ◽  
Open Question ◽  
Building Conservation

<p><strong>Abstract.</strong> Historic buildings are fragile systems to be managed and protected during time: in the task of heritage restoration, efficiency improvement interventions should enable a more sustainable building conservation and use. Such measures might be defined within the combination of building survey and energy performance simulation. A good knowledge of materials and physics characteristics is fundamental to weigh correctly any improvement intervention. This can be supported also by documentary research and diagnostics, to detect existing resources and conservation issues. However, how to match all collected qualitative and quantitative data with a building energy model is still an open question. Energy simulation alone gives a partial vision of heritage needs, excluding information which do not affect the thermal performance of the model; on the contrary, a whole building approach is necessary for defining restoration interventions. With the aim of suggesting a methodology to combine both fields of investigation, a case study has been chosen to our purpose: Giuseppe Terragni’s Casa del Fascio (1936). A multidisciplinary process with the combination of building survey, monitoring campaign, on-site investigation and energy modelling has been functional to the understanding of the real building needs and the definition of interventions. Furthermore, the analysis has given to the rediscover of Terragni’s microclimatic control system (not more existing), leading to the choice of reinventing - in a modern way – the existing devices (as curtains), well-balanced on building needs.</p>

scholarly journals Experimental Investigation and Energy Performance Simulation of Mongolian Ger with ETS Heater and Solar PV in Ulaanbaatar City

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5840
Author(s):  
Bat-Erdene Bayandelger ◽  
Yuzuru Ueda ◽  
Amarbayar Adiyabat
Keyword(s):  
Energy Efficiency ◽  
Heating System ◽  
Energy System ◽  
Energy Performance ◽  
Comfort Level ◽  
Solar Pv ◽  
Pv System ◽  
Performance Simulation ◽  
Central Energy ◽  
Indoor Comfort

There are approximately 200,000 households living in detached houses and gers (yurts) with small coal stoves that burn raw coal in Ulaanbaatar city. A proper heating system and improvement of the energy efficiency of residential dwellings are vitally important for Ulaanbaatar city to reduce air pollution as well as for the operation of the current central energy system. This study shows the experimental results for two gers with two different heating systems and different thermal insulation, for investigating the merits of each. The technical feasibility of the system consisting of an electric thermal storage (ETS) heater with a daytime charging schedule and areal photovoltaic (PV) system was also examined by using a simulation with software developed in MATLAB (R2020a, MathWorks, USA). As a result of the experiment, the indoor comfort level and energy efficiency of the ger with added insulation and an ETS heater with nighttime charging were shown to be enhanced compared with those of the reference ger. The ger with added insulation and the ETS heater consumed 3169 kWh for electric appliances and 5989 kWh for the heating season. The simulation showed that the PV self-consumption rate is 76% for the Ger 2 with the ETS heater because of the daytime charging schedule of the ETS heater. The PV system supplied 31% of the total energy consumed, with the remaining 69% from the main grid.

scholarly journals Thermal Performance Visualization Using Object−Oriented Physical and Building Information Modeling

2020 ◽  
Vol 10 (17) ◽  
pp. 5888
Author(s):  
WoonSeong Jeong ◽  
Wei Yan ◽  
Chang Joon Lee
Keyword(s):  
Thermal Performance ◽  
Thermal Energy ◽  
Object Oriented ◽  
Building Design ◽  
Energy Performance ◽  
Information Modeling ◽  
Performance Simulation ◽  
Performance Visualization ◽  
Building Information ◽  
Performance Results

This study demonstrates the research and development of a visualization method called thermal performance simulation. The objective of this study is providing the results of thermal performance simulation results into building information modeling (BIM) models, displaying a series of thermal performance results, and enabling stakeholders to use the BIM tool as a common user interface in the early design stage. This method utilizes a combination of object-oriented physical modeling (OOPM) and BIM. To implement the suggested method, a specific BIM authoring tool called the application programming interface (API) was adopted, as well as an external database to maintain the thermal energy performance results from the OOPM tool. Based on this method, this study created a prototype called the thermal energy performance visualization (TEPV). The TEPV translates the information from the external database to the thermal energy performance indicator (TEPI) parameter in the BIM tool. In the TEPI, whenever BIM models are generated for building design, the thermal energy performance results are visualized by color-coding the building components in the BIM models. Visualization of thermal energy performance results enables non-engineers such as architects to explicitly inspect the simulation results. Moreover, the TEPV facilitates architects using BIM as an interface in building design to visualize building thermal energy performance, enhancing their design production at the early design stages.

A study on a new criterion for minimum-energy perfect control in the state-space framework

2019 ◽  
Vol 233 (7) ◽  
pp. 779-787 ◽  
Author(s):  
Wojciech P Hunek ◽  
Marek Krok
Keyword(s):  
Energy Cost ◽  
Control Algorithm ◽  
Minimum Energy ◽  
Energy Performance ◽  
Control Law ◽  
Performance Simulation ◽  
New Approach ◽  
Energy Behavior ◽  
New Criterion ◽  
Made In

In this article, an advanced study concerning the energy cost of the perfect control algorithm is provided. An application of different nonunique matrix inverses into perfect control law has resulted in remarkable influence on both control and state signals. Following the newly obtained issues, covering the minimum-energy behavior, a new related criterion is proposed here. Based on deterministic norm we can, in a simple way, estimate the crucial energy performance. Simulation examples made in MATLAB/Simulink environment show the high potential of a new approach considered in the article.

Reduction of computation time in building energy performance simulation programs by applying tearing techniques

2016 ◽  
Vol 130 ◽  
pp. 667-675 ◽  
Author(s):  
Juan Luis Foncubierta Blázquez ◽  
Ismael Rodríguez Maestre ◽  
Francisco Javier González Gallero ◽  
J. Daniel Mena Baladés
Keyword(s):  
Computation Time ◽  
Building Energy ◽  
Energy Performance ◽  
Performance Simulation ◽  
Building Energy Performance
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