scholarly journals Validation and calibration of dynamic energy models: energy audit of a public building

2021 ◽  
Vol 2116 (1) ◽  
pp. 012107
Author(s):  
S. Bergero ◽  
A. Chiari
Keyword(s):  
Simulated Data ◽  
Simulation Models ◽  
Building Energy ◽  
Energy Audit ◽  
Generation System ◽  
Indoor Temperature ◽  
Heating And Cooling ◽  
Energy Models ◽  
Energy Audits ◽  
Good Agreement

Abstract Detailed buildings energy audits require dynamic simulation models based on hourly input data. This paper presents the calibration and validation of an office building energy model for the heating and cooling services. Simulation are carried out by DesignBuilder software. Measured hourly heating and cooling energy supplied by the generation system are used for the calibration of the model. Employee behaviour with reference to occupancy profiles and indoor temperature settings is also considered. A good agreement between measured and simulated data is obtained for both heating and cooling seasons.

Energy Audits and Energy-Saving Potential Analysis of the Science Building at Xi'an Jiaotong-Liverpool University in Suzhou

2013 ◽  
Vol 291-294 ◽  
pp. 1044-1049 ◽  
Author(s):  
Wen Long Jing ◽  
Mohamed Nayel
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Building Energy ◽  
Building Energy Consumption ◽  
Energy Audit ◽  
Potential Analysis ◽  
Energy Saving Potential ◽  
Science Building ◽  
Energy Audits

A building energy audit was developed through a case study on the science building at Xi'an Jiaotong-Liverpool University (XJTLU). The annual energy consumption of the building was surveyed over a two year period. The building energy consumption characteristics were displayed and the corresponding energy saving potential was analyzed. Additionally, an energy saving methods is proposed based on the characteristics of the target building.

scholarly journals Investigation Of The Improvement Building Envelope Impact On Energy Consumption Using Energy Audit

2020 ◽  
Vol 307 ◽  
pp. 01031
Author(s):  
Fatiha Mokhtari ◽  
Djaffar Semmar ◽  
Mourad Chikhi ◽  
Nachida Kasbadji Merzouk ◽  
Soumia Oukaci
Keyword(s):  
Energy Consumption ◽  
Numerical Study ◽  
Winter Season ◽  
Building Energy ◽  
Building Envelope ◽  
Energy Audit ◽  
Effective Evaluation ◽  
Heating And Cooling ◽  
Space Cooling ◽  
Reduction Of Energy Consumption

Effective evaluation on the thermal performance of building envelope plays an important role towards the reduction of energy consumption for space cooling and heating. In order to estimate the energy consumption for cooling, heating and the whole energy saving on the envelop designs; an improvements of thermal performances of this envelope are introduced. This trend is performed using a numerical study. The building is an office part of the Unit of Developmental for Solar Equipment (UDES) located at Bou-Ismail, an Algerian coastal city. Through the software PLEADES-COMFIE, building energy has been evaluated. The simulation results illustrate that; adding 90 mm thick insulation on the opaque walls and double glazing on windows produce a maximum saving of 50% and 10% annual energy required in heating and cooling. Also these proposed performances allow increasing indoor temperate of 4°C in winter season and decreasing.

scholarly journals Approaching the validation of building energy models: billing vs indoor environmental data

2020 ◽  
Vol 197 ◽  
pp. 02001
Author(s):  
Domenico Palladino ◽  
Iole Nardi
Keyword(s):  
Central Italy ◽  
Environmental Parameters ◽  
Building Energy ◽  
Energy Model ◽  
Environmental Data ◽  
Energy Audit ◽  
The Real ◽  
Energy Models ◽  
Validation Procedure

To understand the real building energy consumption, and to identify the best energy improvements (due to energy refurbishment and/or HVAC replacement), the energy audit is recommended, but it generally entails the realization of an energy model of the building itself. The main issue of this approach is the collection of data, needed to verify the reliability of the energy audit results. Currently, to validate buildings energy model retrieved by hourly semi-stationary software, is it possible to refer to: (i) bills related to energy carrier (i.e. natural gas and/or electricity); (ii) monitored indoor parameters. The aim of the paper is to understand which of the two is more suitable for the purpose. In this work, the two options are investigated considering, as case study, a family house located in central Italy, whose envelope thermophysical properties and HVAC systems are known, and whose bills and indoor environmental conditions (air temperature and relative humidity) were archived since December 2019. Results from the two validation methods are very close to each other; particularly, results show that energy audit performed with indoor environmental parameters better fits the real consumption, but it entails more complex validation procedure.

Exergoeconomic analysis of renewable multi-generation system

2020 ◽  
pp. 99-111
Author(s):  
Vontas Alfenny Nahan ◽  
Audrius Bagdanavicius ◽  
Andrew McMullan
Keyword(s):  
Capital Investment ◽  
Combined Cycle ◽  
Asian Countries ◽  
Generation System ◽  
Integrated Gasification Combined Cycle ◽  
Heating And Cooling ◽  
Integrated Gasification ◽  
Exergoeconomic Analysis ◽  
Main Components ◽  
The Cost

In this study a new multi-generation system which generates power (electricity), thermal energy (heating and cooling) and ash for agricultural needs has been developed and analysed. The system consists of a Biomass Integrated Gasification Combined Cycle (BIGCC) and an absorption chiller system. The system generates about 3.4 MW electricity, 4.9 MW of heat, 88 kW of cooling and 90 kg/h of ash. The multi-generation system has been modelled using Cycle Tempo and EES. Energy, exergy and exergoeconomic analysis of this system had been conducted and exergy costs have been calculated. The exergoeconomic study shows that gasifier, combustor, and Heat Recovery Steam Generator are the main components where the total cost rates are the highest. Exergoeconomic variables such as relative cost difference (r) and exergoeconomic factor (f) have also been calculated. Exergoeconomic factor of evaporator, combustor and condenser are 1.3%, 0.7% and 0.9%, respectively, which is considered very low, indicates that the capital cost rates are much lower than the exergy destruction cost rates. It implies that the improvement of these components could be achieved by increasing the capital investment. The exergy cost of electricity produced in the gas turbine and steam turbine is 0.1050 £/kWh and 0.1627 £/kWh, respectively. The cost of ash is 0.0031 £/kg. In some Asian countries, such as Indonesia, ash could be used as fertilizer for agriculture. Heat exergy cost is 0.0619 £/kWh for gasifier and 0.3972 £/kWh for condenser in the BIGCC system. In the AC system, the exergy cost of the heat in the condenser and absorber is about 0.2956 £/kWh and 0.5636 £/kWh, respectively. The exergy cost of cooling in the AC system is 0.4706 £/kWh. This study shows that exergoeconomic analysis is powerful tool for assessing the costs of products.

Characterization Of Building Foundation In Building Energy Models

2020 ◽  
Author(s):  
Germán Ramos Ruiz ◽  
Vicente Gutierrez González ◽  
Eva Lucas Segarra ◽  
Germán Campos Gordillo ◽  
Carlos Fernandez Bandera
Keyword(s):  
Building Energy ◽  
Energy Models ◽  
Building Foundation

scholarly journals Energy Efficiency Solutions for Small and Medium-Sized Enterprises

Proceedings ◽  
2021 ◽  
Vol 65 (1) ◽  
pp. 19
Author(s):  
Joanna Southernwood ◽  
Grigoris K. Papagiannis ◽  
Erudino Llano Güemes ◽  
Luisa Sileni
Keyword(s):  
Energy Efficiency ◽  
Energy Saving ◽  
Energy Management ◽  
Policy Recommendations ◽  
Effective Energy ◽  
Energy Audit ◽  
Horizon 2020 ◽  
Efficiency Measures ◽  
Energy Audits ◽  
Innovative Capacity

Few small and medium-sized enterprises (SMEs) have undertaken an energy audit to date and even fewer have taken action to implement energy-saving measures. Lack of time, knowledge, and finance, coupled with the low priority that SMEs give to energy management, are the most commonly cited barriers to effective energy management in SMEs. Four projects funded by Horizon 2020 (SPEEDIER, SMEmPower Efficiency, E2DRIVER, and Innoveas) have developed innovative capacity-building programmes designed to eliminate these barriers and encourage SMEs to undertake energy audits and implement the recommended energy efficiency measures. This paper presents an overview of the innovations being tested and suggests a series of policy recommendations that could help to drive uptake of energy audits in SMEs.

scholarly journals BuildingSync: A schema for commercial building energy audit data exchange

2021 ◽  
pp. 100054
Author(s):  
Nicholas Long ◽  
Katherine Fleming ◽  
Chris CaraDonna ◽  
Cory Mosiman
Keyword(s):  
Data Exchange ◽  
Building Energy ◽  
Commercial Building ◽  
Energy Audit ◽  
Audit Data

scholarly journals Impact of Actual Weather Datasets for Calibrating White-Box Building Energy Models Base on Monitored Data

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1187
Author(s):  
Vicente Gutiérrez González ◽  
Germán Ramos Ruiz ◽  
Carlos Fernández Bandera
Keyword(s):  
Control Experiment ◽  
Pearson Correlation ◽  
Building Energy ◽  
Third Party ◽  
Primary Position ◽  
Energy Models ◽  
Urgent Task ◽  
Calibration Study ◽  
Study Case ◽  
Reduce Energy Consumption

The need to reduce energy consumption in buildings is an urgent task. Increasing the use of calibrated building energy models (BEM) could accelerate this need. The calibration process of these models is a highly under-determined problem that normally yields multiple solutions. Among the uncertainties of calibration, the weather file has a primary position. The objective of this paper is to provide a methodology for selecting the optimal weather file when an on-site weather station with local sensors is available and what is the alternative option when it is not and a mathematically evaluation has to be done with sensors from nearby stations (third-party providers). We provide a quality assessment of models based on the Coefficient of Variation of the Root Mean Square Error (CV(RMSE)) and the Square Pearson Correlation Coefficient (R2). The research was developed on a control experiment conducted by Annex 58 and a previous calibration study. This is based on the results obtained with the study case based on the data provided by their N2 house.

scholarly journals Towards Sustainable Energy Retrofitting, a Simulation for Potential Energy Use Reduction in Residential Buildings in Palestine

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3876
Author(s):  
Sameh Monna ◽  
Adel Juaidi ◽  
Ramez Abdallah ◽  
Aiman Albatayneh ◽  
Patrick Dutournie ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Use ◽  
Energy Savings ◽  
Residential Buildings ◽  
Residential Building ◽  
Simulation Models ◽  
Water Heating ◽  
Heating And Cooling ◽  
Space Cooling ◽  
Cooling Loads

Since buildings are one of the major contributors to global warming, efforts should be intensified to make them more energy-efficient, particularly existing buildings. This research intends to analyze the energy savings from a suggested retrofitting program using energy simulation for typical existing residential buildings. For the assessment of the energy retrofitting program using computer simulation, the most commonly utilized residential building types were selected. The energy consumption of those selected residential buildings was assessed, and a baseline for evaluating energy retrofitting was established. Three levels of retrofitting programs were implemented. These levels were ordered by cost, with the first level being the least costly and the third level is the most expensive. The simulation models were created for two different types of buildings in three different climatic zones in Palestine. The findings suggest that water heating, space heating, space cooling, and electric lighting are the highest energy consumers in ordinary houses. Level one measures resulted in a 19–24 percent decrease in energy consumption due to reduced heating and cooling loads. The use of a combination of levels one and two resulted in a decrease of energy consumption for heating, cooling, and lighting by 50–57%. The use of the three levels resulted in a decrease of 71–80% in total energy usage for heating, cooling, lighting, water heating, and air conditioning.

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