scholarly journals Investigation of zero energy house design: Principles concepts opportunities and challenges

2019 ◽  
Vol 1 (1) ◽  
pp. 21-32
Author(s):  
Hasan Ikbal Altintas
Keyword(s):  
Energy Savings ◽  
Cost Effective ◽  
Weather Conditions ◽  
Research Paper ◽  
Energy Performance ◽  
Zero Energy ◽  
Building Model ◽  
Net Zero Energy ◽  
Net Zero ◽  
House Design

This research paper examines the concept of zero energy house in details. A lot of literature was revised to define the zero-energy house and identify its application worldwide. Furthermore, several key trends triggered by zero energy houses were reviewed and mentioned to indicate at the importance of this hot topic of 21st century. Besides, issues and challanges facing this concept were discussed. Technological, economical, instiutional barriers are only few of many barriers discussed in this research paper that have huge impacts on the concept of zero energy houses. Later on, two different studies conducted in distinct locations were examined. The first study used TRNSYS building sofware along with the lumped capacitance building model to investigate the thermal performance of net zero energy house for the sub-zero temperature areas. It aimed at creating the net zero cost-effective energy house for the ares with sub-zero weather conditions. The findings have shown that there is a good tendency for the construction of zero energy houses. The second study aimed to design a zero-energy house in Brisbane, Australia by using the EnergyPlus 8.1 building simulation sofware. Energy performance, potential energy savings and financial feasibility of zero energy house was analyzed. After a thorough investigation, results have shown that designing a zero-energy house in Brisbane sounds like an attractive and possible choice. From the financial aspect, it seems that building a zero-energy house would definetely pay off.

scholarly journals Approaches to Cost-Effective Near-Net Zero Energy New Homes with Time-of-Use Value of Energy and Battery Storage

2021 ◽  
pp. 100018
Author(s):  
Max Wei ◽  
Sang Hoon Lee ◽  
Tianzhen Hong ◽  
Brian Conlon ◽  
Lucy McKenzie ◽  
...  
Keyword(s):  
Cost Effective ◽  
Use Value ◽  
Battery Storage ◽  
Zero Energy ◽  
Net Zero Energy ◽  
Net Zero

Towards Net-Zero Energy Buildings: A Case Study in Humid Subtropical Climate

2018 ◽  
Author(s):  
Owen Betharte ◽  
Hamidreza Najafi ◽  
Troy Nguyen
Keyword(s):  
Decision Making ◽  
Energy Efficiency ◽  
Energy Demand ◽  
Energy Performance ◽  
Subtropical Climate ◽  
Efficiency Improvement ◽  
Zero Energy ◽  
Energy Efficiency Improvement ◽  
Net Zero Energy ◽  
Net Zero

The growing world-wide energy demand and environmental considerations have attracted immense attention in building energy efficiency. Climate zone plays a major role in the process of decision making for energy efficiency projects. In the present paper, an office building located in Melbourne, FL is considered. The building is built in 1961 and the goal is to identify and prioritize the potential energy saving opportunities and retrofit the existing building into a Net-Zero Energy Building (NZEB). An energy assessment is performed and a baseline model is developed using eQUEST to simulate the energy performance of the building. Several possible energy efficiency improvement scenarios are considered and assessed through simulation including improving insulation on the walls and roof, replacing HVAC units and upgrade their control strategies, use of high efficiency lighting, and more. Selected energy efficiency improvement recommendations are implemented on the building model to achieve the lowest energy consumption. It is considered that photovoltaic (PV) panels will be used to supply the energy demand of the building. Simulations are also performed to determine the number of required PV panels and associated cost of the system is estimated. The results from this paper can help with the decision making regarding retrofit projects for NZEB in humid subtropical climate.

Energy Optimization in Net-Zero Energy Building Clusters

2014 ◽  
Author(s):  
Philip Odonkor ◽  
Kemper Lewis ◽  
Jin Wen ◽  
Teresa Wu
Keyword(s):  
Smart Grids ◽  
Energy Demand ◽  
Energy Optimization ◽  
Cost Effective ◽  
Energy Utilization ◽  
Valuable Insight ◽  
Zero Energy ◽  
Net Zero Energy ◽  
Net Zero ◽  
Building Energy Optimization

Traditionally viewed as mere energy consumers, buildings have in recent years adapted, capitalizing on smart grid technologies and distributed energy resources to not only efficiently use energy, but to also output energy. This has led to the development of net-zero energy buildings, a concept which encapsulates the synergy of energy efficient buildings, smart grids, and renewable energy utilization to reach a balanced energy budget over an annual cycle. This work looks to further expand on this idea, moving beyond just individual buildings and considering net-zero at a community scale. We hypothesize that applying net-zero concepts to building communities, also known as building clusters, instead of individual buildings will result in cost effective building systems which in turn will be resilient to power disruption. To this end, this paper develops an intelligent energy optimization algorithm for demand side energy management, taking into account a multitude of factors affecting cost including comfort, energy price, Heating, Ventilation, and Air Conditioning (HVAC) system, energy storage, weather, and on-site renewable resources. A bi-level operation decision framework is presented to study the energy tradeoffs within the building cluster, with individual building energy optimization on one level and an overall net-zero energy optimization handled on the next level. The experimental results demonstrate that the proposed approach is capable of significantly shifting demand, and when viable, reducing the total energy demand within net-zero building clusters. Furthermore, the optimization framework is capable of deriving Pareto solutions for the cluster which provide valuable insight for determining suitable energy strategies.

Investigating the probability of designing net-zero energy buildings with consideration of electric vehicles and renewable energy

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Seyed Sajad Rezaei Nasab ◽  
Abbasali Tayefi Nasrabadi ◽  
Somayeh Asadi ◽  
Seiyed Ali Haj Seiyed Taghia
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Building Energy ◽  
Energy Performance ◽  
Zero Energy ◽  
Content Type ◽  
Building Energy Performance ◽  
Net Zero Energy ◽  
Net Zero ◽  
Net Zero Energy Buildings

PurposeDue to technological improvement and development of the vehicle-to-home (V2H) concept, electric vehicle (EV) can be considered as an active component of net-zero energy buildings (NZEBs). However, to achieve more dependable results, proper energy analysis is needed to take into consideration the stochastic behavior of renewable energy, energy consumption in the building and vehicle use pattern. This study aims to stochastically model a building integrating photovoltaic panels as a microgeneration technology and EVs to meet NZEB requirements.Design/methodology/approachFirst, a multiobjective nondominated sorting genetic algorithm (NSGA-II) was developed to optimize the building energy performance considering panels installed on the façade. Next, a dynamic solution is implemented in MATLAB to stochastically model electricity generation using solar panels as well as building and EV energy consumption. Besides, the Monte Carlo simulation method is used for quantifying the uncertainty of NZEB performance. To investigate the impact of weather on both energy consumption and generation, the model is tested in five different climatic zones in Iran.FindingsThe results show that the stochastic simulation provides building designers with a variety of convenient options to select the best design based on level of confidence and desired budget. Furthermore, economic evaluation signifies that investing in all studied cities is profitable.Originality/valueConsidering the uncertainty in building energy demand and PV power generation as well as EV mobility and the charging–discharging power profile for evaluating building energy performance is the main contribution of this study.

Intelligent homes’ technologies to optimize the energy performance for the net zero energy home

2017 ◽  
Vol 153 ◽  
pp. 262-274 ◽  
Author(s):  
Fadi AlFaris ◽  
Adel Juaidi ◽  
Francisco Manzano-Agugliaro
Keyword(s):  
Energy Performance ◽  
Zero Energy ◽  
Net Zero Energy ◽  
Net Zero

scholarly journals Thermal performance analysis of net-zero energy building using evolutionary algorithms

2020 ◽  
Vol 5 (2) ◽  
Author(s):  
Gisele Goulart Tavares ◽  
Marcus Vinícius Ferraz ◽  
Eric Vargas Loureiro ◽  
Vitor De Castro Nobre ◽  
Leonardo Goliatt ◽  
...  
Keyword(s):  
Geometric Model ◽  
Energy Performance ◽  
Design Parameters ◽  
Block Type ◽  
Critical Element ◽  
Zero Energy ◽  
Zero Energy Building ◽  
Net Zero Energy ◽  
Net Zero Energy Building ◽  
Net Zero

The zero-energy building, also known as Net-Zero Energy Building (NZEB), is based on the concept of an energy-efficient building that balances its total energy using solutions that aim to mitigate CO2 emissions and reduce energy use in the constructions.  Energy consumption in residential and commercial buildings increased between 20% and 40% in developed countries and exceeded the industry and transportation sectors. Due to climate change, by 2050 buildings can consume 20% more energy, with energy performance being the critical element in achieving climate goals and improving energy security. The objective of this paper is to maximize the thermal comfort in an NZEB through the evolutionary algorithm PSO (Particle Swarm Optimization), a technique inspired by the collective intelligence of the animals. For this, different constructive parameters were inserted in a geometric model to identify combinations that offer greater comfort. For the optimization problem of this work, the design parameters were: block type, concrete thickness used in the solid slab, mortar type, window size, door size, and cover type. From the geometric model, an IDF file was generated for the parameterization and subsequent energy simulation of the scenarios created by the PSO in the EnergyPlus software. The exchange of materials and parameter values of the model reached lower hours of discomfort per year in comparison to results obtained in the literature.

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