scholarly journals ENERGIJOS ŠALTINIŲ PARINKIMO ĮTAKA PASTATO ENERGINIAM NAUDINGUMUI / IMPACT OF ENERGY SOURCES SELECTION FOR ENERGY PERFOMANCE OF BUILDING

2018 ◽  
Vol 10 (0) ◽  
pp. 1-6
Author(s):  
Rūta Mikučionienė ◽  
Vygantas Žėkas
Keyword(s):  
Energy Production ◽  
Alternative Energy ◽  
Production Systems ◽  
Building Energy ◽  
Energy Performance ◽  
Heat Pumps ◽  
Solar Photovoltaic ◽  
Energy Demands ◽  
Zero Energy Building ◽  
Selection For

The article analyzes energy supply alternatives for administrative nearly zero energy building in Kaunas. Alternative energy production systems such as biofuel boiler, condensing boiler, heat pumps (air-water and groundwater), solar photovoltaic, solar collectors and combinations of these systems are analysed. The simulation of analysed building energy demands has been made using DesignBuilder modelling software and modelling of energy production alternatives has been performed using energyPRO software. In order to determine the optimal energy production alternative, the combinations of technologies are compared by energetic and ecological indicators and influence of each combination on the energy performance class is assessed. Santrauka Vis griežtėjantys Europos Sąjungos reikalavimai pastatų sektoriuje reikalauja efektyvesnių ir ekologiškesnių sprendimų aprūpinant pastatus energija, todėl būtina ieškoti geriausių aprūpinimo energija variantų juos įvertinant keliais kriterijais. Tiriamos administracinio beveik nulinės energijos pastato šios aprūpinimo energija technologijos: biokuro katilas, kondensacinis dujų katilas, šilumos siurbliai (gruntas–vanduo ir oras–vanduo), šalčio mašina, centralizuoti šilumos tinklai, saulės elementai ir saulės kolektoriai. Pastato poreikiai modeliuojami DesignBuilder, o aprūpinimo energija technologijų deriniai modeliuojami energyPRO modeliavimo programa. Siekiant nustatyti optimalų aprūpinimo energija variantą, technologijų deriniai yra lyginami pagal energinį ir ekologinį rodiklius ir įvertinama kiekvieno derinio įtaka pastato energinio naudingumo klasei.

scholarly journals MULTI-CRITERIA ANALYSIS OF ALTERNATIVE ENERGY SUPPLY SOLUTIONS TO PUBLIC NEARLY ZERO ENERGY BUILDINGS / BEVEIK NULINIO ENERGIJOS BALANSO VISUOMENINIŲ PASTATŲ APRŪPINIMO ENERGIJA SPRENDIMAI, DAUGIAKRITERĖ ANALIZĖ

2013 ◽  
Vol 5 (4) ◽  
pp. 435-441 ◽  
Author(s):  
Giedrius Šiupšinskas ◽  
Solveiga Adomėnaitė
Keyword(s):  
Energy Supply ◽  
Energy Demand ◽  
Energy Production ◽  
Alternative Energy ◽  
Production Systems ◽  
Heat Pumps ◽  
Zero Energy ◽  
Multi Criteria Analysis ◽  
Transient System ◽  
Zero Energy Buildings

The article analyzes energy supply alternatives for modernised public nearly zero energy buildings. The paper examines alternative energy production systems such as heat pumps (air-water and ground-water), solar collectors, adsorption cooling, biomass boiler, solar photovoltaic, wind turbines and combinations of these systems. The simulation of the analysed building energy demand for different energy production alternatives has been performed using TRNSYS modelling software. In order to determine an optimal energy supply variant, the estimated results of energy, environmental, and economic evaluation have been converted into non-dimensional variables (3E) using multi-criteria analysis. Article in Lithuanian. Santrauka Siekiant beveik nulinio energijos balanso modernizuotame viešosios paskirties pastate, nagrinėjamos aprūpinimo energija alternatyvos. Tiriamos šios alternatyvios aprūpinimo energija sistemos: šilumos siurbliai (gruntas–vanduo ir oras– vanduo), saulės kolektoriai, adsorbcinė vėsinimo mašina, biokuro katilas, saulės elementai, vėjo jėgainė – ir šių sistemų deriniai. Skirtingų aprūpinimo energija variantų energijos poreikiai modeliuojami TRNSYS (The Transient System Simulation Program) modeliavimo programa. Siekiant nustatyti optimalų aprūpinimo energija variantą, gauti energinio, ekologinio ir ekonominio vertinimų rezultatai daugiakriterės analizės būdu perskaičiuojami į nedimensinius rodiklius (3E).

scholarly journals Comparison of Energy Performance of Existing Building with Adoption of Nearly Zero Energy Building Concept in Rural Area of Bhutan

2021 ◽  
Vol 9 (1) ◽  
pp. 34
Author(s):  
Samten Lhendup
Keyword(s):  
Energy Consumption ◽  
Building Energy ◽  
Energy Performance ◽  
Existing Building ◽  
Zero Energy Building ◽  
Energy Consumption Reduction ◽  
Consumption Reduction ◽  
Energy Consumption Patterns ◽  
The Impact ◽  
New Buildings

The climate is changing very fast today, and this is not natural. We are experiencing the impact of climate change in many aspects. It is also expected to impact the performance of buildings badly in due course of time. In recent years, many countries started investing to evaluate the energy performances of the buildings and opting for the best suited energy-saving measures. However, this concept may be new in the context of Bhutan. However, the author expects that this new concept may revolutionize the building construction sectors in Bhutan. Many studies show that buildings are one of the world’s largest consumers of energy, and on the other hand, strategies are available to reduce energy consumption. The strategies can be applied right from the design phases for the new buildings and retrofits for the old buildings. In order to apply the best strategies of energy consumption reduction and to understand building energy consumption patterns, an evaluation of the building’s energy performance needs to be carried out.

scholarly journals The choice of appropriate generator systems to enhance the renewable energy share in buildings. A comparison between PV-assisted heat pumps and biomass boilers

2021 ◽  
Vol 312 ◽  
pp. 02014
Author(s):  
Roberto Bruno ◽  
Piero Bevilacqua ◽  
Stefania Perrella ◽  
Daniela Cirone ◽  
Natale Arcuri
Keyword(s):  
Renewable Energy ◽  
Building Energy ◽  
Primary Energy ◽  
Heat Pumps ◽  
Dynamic Simulations ◽  
Climatic Zones ◽  
Energy Demands ◽  
Certification Procedure ◽  
Low Energy Buildings ◽  
Energy Share

Low-energy buildings are generally equipped with generation systems driven by renewable sources. Regarding heating and DHW production, two choices appear appropriate: PV assisted heat pumps and biomass boilers. In this paper, by means of TRNSYS dynamic simulations, the non-renewable primary energy was determined for two buildings located in different climatic contexts by varying the PV size to consider the actual self-consumed electricity of commercial devices. Results showed that in cold climates biomass boilers are more suggested, especially in unfavourable climatic zones, whereas the COP of air-water heat pumps is strongly penalized by the outdoor temperatures and in many cases the self-consumed PV electricity does not limit the grid intervention adequately. However, in building with limited thermal energy demands and in favorable climates, suitable PV sizes make heat pumps more performant than biomass boilers. The same calculations were conducted with the quasi-steady approach, in accordance with the Italian building energy certification procedure, observing a favorable scenario in a heating plant equipped with a PV assisted heat pump because it assumes the renewable electricity entirely absorbed, while the accounting of the actual self-consumed share produces a greater demand of non-renewable energy.

scholarly journals Energy Production and Pollution Mitigation from Broilers Houses on Poultry Farms in Jamaica and Pennsylvania

2008 ◽  
Vol 3 (1) ◽  
Author(s):  
Shanique Grant ◽  
Alicia Marshalleck
Keyword(s):  
Energy Production ◽  
Alternative Energy ◽  
Pilot Scale ◽  
Chicken Manure ◽  
State University ◽  
Pennsylvania State University ◽  
Energy Demands ◽  
University Of Technology ◽  
32 Factorial Design ◽  
The University

Increasing energy demands and diminishing fuel supplies have left nations desirous of avenues to minimize their reliance on traditional energy sources and a need to infuse supplementary technologies. Biogas technology is one such trajectory that can contribute to the reduction of dependency on fossil fuel as well as allay environmentally problems. The University of Technology, Jamaica (UTech) and Pennsylvania State University (PSU), in pursuit of investigating the potential of biogas in the agricultural sectors of Jamaica and Pennsylvania, United States, sought to use biogas generated from livestock (chicken, swine and cow) waste as an alternative energy source. A 32 factorial design resulted in the construction of seven (7) laboratory scale biodigesters, each with a volumetric capacity of 8 L. Variations of the ratio, (i.e. chicken manure in combination with pig or cow manure) and retention time enabled the monitoring of biogas flow-rates, temperature, pH, residual mass along with percentage methane production. From the data collected mathematical models relating the flow-rate and percentage methane concentration were deduced in order to facilitate the design of a pilot scale digester on the Silverdene poultry farm in the Parish of St. Catherine, Jamaica.

scholarly journals The role of Thermally Activated Building Systems (TABS) in building energy retrofitting: energy diagnosis and management

2019 ◽  
Author(s):  
Rossana Laera ◽  
Inmaculada Martínez Pérez ◽  
Luis de Pereda Fernández ◽  
Ricardo Tendero Caballero ◽  
Francesco Iannone
Keyword(s):  
Thermal Environment ◽  
Building Energy ◽  
Energy Performance ◽  
Heat Pumps ◽  
Building Envelope ◽  
Low Grade ◽  
Concrete Core ◽  
Horizontal Structure ◽  
Thermally Activated ◽  
Building Systems

Thermally Activated Building Systems (TABS) play a major role in building envelope integration. TABS operate at low temperatures, enabling efficient utilization of renewable sources. Moreover, their combination with other building energy systems provides a high degree of dynamic interactivity with users, improving the quality of the indoor thermal environment. In this research, the efficiency of the technology of active pipe-embedded structures is investigated within its practical application in an existing office building energy retrofit in Spain. Concrete Core Activation (CCA) of the original horizontal structure aims at exploiting its thermal inertial properties and potential storage capability in combination with low-grade energy production systems and devices, such as geothermal heat pumps. A proper methodology of energy diagnosis is aimed at the optimization of TABS performance in building retrofitting. Significant energy savings could be achieved by applying appropriate solutions, control strategies and corrective actions for TABS. The continuity of energy management and follow-up has been proven necessary to keep high standards in terms of TABS energy performance, targeting the identification of energy saving opportunities for the improvement of energy efficiency.

Predictive Modeling for Rooftop Solar Energy Throughput: A Machine Learning-Based Optimization for Building Energy Demand Scheduling

2021 ◽  
pp. 1-15
Author(s):  
Mahdi Houchati ◽  
Monem H. Beitelmal ◽  
Marwan Khraisheh
Keyword(s):  
Machine Learning ◽  
Solar Energy ◽  
Energy Demand ◽  
Alternative Energy ◽  
Average Power ◽  
Building Energy ◽  
Prediction Algorithm ◽  
Support Vector ◽  
Solar Photovoltaic ◽  
Photovoltaic Array

Abstract The intermittent and fluctuating nature of solar energy is the biggest challenge facing its widespread utilization. Implementing onsite photovoltaic systems as alternative energy sources have established the need for reliable forecasting procedures to improve scheduling and demand management. This paper presents a solar energy prediction algorithm to optimize the available solar energy resource and manage the demand-side accordingly. The algorithm utilizes Support Vector Regression (SVR), a machine learning technique, validated using 1-year energy consumption data collected from an office building instrumented as an experimental testbed facility. Power meters and temperature sensors collect the building's internal climate and energy data, while a solar photovoltaic array and a weather station provide the external relevant data. The forecasting method uses the average power output of k-similar days as an added input to the SVR model to enhance its performance. The day-ahead prediction results show that this additional input contributes to higher forecasting efficiency, especially in the hot climate regions, where sunny weather conditions prevail throughout the year. The photovoltaic output prediction accuracy for the sunny days is above 90%, which offers possibilities for optimized scheduling and leading to smart building energy management. Finally, this paper also proposes a setpoint optimization algorithm for the building Air Conditioning system to minimize the difference between the building energy load and the generated solar photovoltaic power. Using 24 °C as the upper setpoint temperature limit reduces the energy demand (consumption) by up to 29% and the associated reduction in CO2 emissions.

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