Zero Energy Buildings Research Articles

Energy Consumption in Mexican Homes: Using a Reference Building as a Launchpad for Achieving Nearly Zero Energy

The residential sector accounts for over a third of the world’s energy use. Even though this ratio is lower in Mexico, there is a pressing housing deficit, especially regarding low-cost homes. This research aimed to create a reference building (RB) to understand the current energy consumption of multi-family buildings across different climatic zones. The aim was to assess their energy performance and promote reduced energy requirements as a guideline for designing and constructing affordable, low-energy, or zero-energy buildings. The present work conducts a diagnosis of the current energy consumption of multi-family buildings in eight cities in Mexico. First, a reference building was developed to represent typical Mexican building geometry and construction practices, and then the building’s fixed and variable energy requirements were simulated. Finally, a comparison was made between the energy requirement and the data reported by the national energy survey. Therefore, it was possible to generate a reference building from national data sources complying with national regulations, where materials, occupant behavior, and equipment were chosen to help represent the building’s thermal behavior. Domestic water heating was identified as a driver of variable energy requirements in all cities. In contrast, the simulated heating and cooling requirements were directly linked to the city’s climate. Electricity bills tended to mostly correspond with the results that excluded the use of heating systems. Lastly, while comparing LPG (Liquified Petroleum Gas) consumption was challenging due to the unavailability of national data, LPG requirements were closely estimated for temperate cities. The definition of a reference building is an important step towards developing nZEB in Mexico, as these buildings are valuable tools that can contribute to the energy evaluation of specific types of buildings. This characteristic makes them convenient for revising a building code or setting new national energy policy goals.

Integrating Renewable Energy and NZEB Standards in the EU A Multi-Factor Analysis

Buildings account for approximately 40% of total global energy consumption, making them a significant contributor to energy demand. Net Zero Energy Buildings (NZEBs) have emerged as a critical area of interest due to the depletion of conventional energy resources. However, the lack of a universally accepted definition of NZEBs presents challenges in fully understanding the concept. This paper aims to provide a comprehensive perspective on the development of NZEBs in the European Union (EU), along with an overview of the relevant guidelines. Additionally, the study examines the influence of climatic conditions on the development of NZEBs across different EU regions. The paper defines various NZEB concepts outlined by the Energy Performance of Buildings Directive (EPBD) to assess their implementation across EU Member States. Furthermore, it presents an analysis of renewable energy technologies and their benchmarks in different EU countries. A detailed quantitative assessment of renewable energy technology installations in the Member States is also provided to support the development of NZEBs in the EU. The study compares different strategies for reducing energy demand while offering valuable insights into the strategic development of NZEBs across Member States. The findings contribute essential knowledge for policymakers and stakeholders seeking to understand the economic landscape of transitioning to NZEBs and optimizing the use of renewable energy resources.

Understanding the Energy Retrofit Strategies Towards Net Zero Energy Building in Sync with the SDGs: A Review and Bibliometric Analysis

Understanding the Energy Retrofit Strategies Towards Net Zero Energy Building in Sync with the SDGs: A Review and Bibliometric Analysis

A simple simultaneous envelope/system optimization for energy efficiency improvement in near-zero energy buildings

A simple simultaneous envelope/system optimization for energy efficiency improvement in near-zero energy buildings

Energy consumption simulation and renewable energy integration analysis of nearly zero-energy buildings in hot summer and cold winter climate

Energy consumption simulation and renewable energy integration analysis of nearly zero-energy buildings in hot summer and cold winter climate

Electric Vehicle integration in Zero-Carbon Buildings: Analyzing the impact on carbon emissions and economic performance

Electric Vehicle integration in Zero-Carbon Buildings: Analyzing the impact on carbon emissions and economic performance

Membrane-based CO2 capture integrated with CCHP for a nearly zero-carbon building

Membrane-based CO2 capture integrated with CCHP for a nearly zero-carbon building

Stochastic optimization of energy systems configuration for nearly-zero energy buildings considering load uncertainties

Stochastic optimization of energy systems configuration for nearly-zero energy buildings considering load uncertainties

Advancing smart net-zero energy buildings with renewable energy and electrical energy storage

Advancing smart net-zero energy buildings with renewable energy and electrical energy storage

A Review-Zero Energy Building

Abstract: The concept of net zero energy building has attracted many attentions and controversies since it was put forward. Many scholars have analyzed its configuration, technology, modelling approach and feasibility of application. However, there are still few studies focus on the application of net zero buildings considering future energy development. Based on the current energy situation and the development trend of energy technology, this paper analyzed the technical feasibility of net zero energy building. The Indira ParyavaranBhawan it's indeed a remarkable example of sustainable architecture, being India’s first net zero energy building. By incorporating green building features and minimizing its impact on the surrounding environment, this building serves as a model for environmentally responsible construction. The project's objective is to create a Net Zero Energy Building (NZEB) for The Ministry of Environment and Forest (MOEF) infrastructure expansion drives national progress. Construction activities, factories, and industries pollute the environment construction sector contributes 40% Of air pollution. co 2 emissions harm the ozone layer, causing global warming, Adopt green building construction, eco-friendly materials, Balancing infrastructure growth with environmental concerns is crucial. Sustainable practices, like green buildings and eco-friendly materials, offer a feasible solution to mitigate pollution and environmental harm infrastructure growth must balance development with Environmental conservation. The construction industry contributes significantly to environmental pollution (40% of air pollution). Cement and steel production are primary sources of Co2 emissions (8-10% and 510% respectively). Zero energy building offer a sustainable solution, minimizing environmental impacts and Promoting occupant health. The construction industry's environmental impact can be mitigated through sustainable practices, such as zero energy buildings, to balance development with environmental conservation it is reported that 30% to 40% of all the primary energy used worldwide is used in building. It is necessary to take steps to make the more environmentally sustainable. The Zero Energy Building uses natural energy sources to meet the energy requirements of the building. Now a day, the energy which is created produced 36% of co2 emission. The building consumes zero or very little energy and is built on renewable energy sources. We have carried out a studied in this work to analyse the performance of a zero-energy building, also studied the various parameters of ZEB and found such building is possible. In India it emphasis the integration of Building Information Modelling (BIM) energy analysis and practical construction method to optimize design for enhanced energy efficiency. Additionally, the study searching into combining local bio -based construction materials with PHOTHO VOLTAIC (PV) system for sustainable rural housing solution in developing nations ultimately, these covers the way towards a more sustainable and energy – efficient future by promoting innovative solutions and practices in building design and construction.

Customer perceived value theory and PSO-LightGBM algorithm-based approach to evaluating satisfaction factors with Net-zero energy building retrofits

With the growing global focus on sustainability, net-zero energy building (NZEB) retrofitting has become a meaningful way to improve energy efficiency and reduce carbon emissions. However, research on evaluating residents' satisfaction with these retrofit projects is lacking. This study aims to fill this gap using customer perceived value (CPV) theory and PSO-LightGBM algorithms to evaluate the factors influencing satisfaction with NZEB retrofits. The research framework is based on CPV, with functional, emotional, social, and cost values as critical drivers of satisfaction. Post-retrofit feedback was analyzed using PSO-LightGBM and other machine learning (ML) models like CatBoost, XGBoost, and AdaBoost. The study found that “government subsidies and support,” “living comfort,” “personalized experience,” “social acceptance,” and “improved environmental image” are the top five most important factors affecting satisfaction with renovating NZEB. In addition, the PSO-LightGBM algorithm excels in accuracy, precision, and F1 score, outperforming other ML models. The study also suggests several enhancement strategies, such as the use of energy-efficient technologies and environmentally friendly materials, to ensure that the performance of the retrofitted buildings improves significantly.

Retraction notice to "Deep retrofitting toward net zero energy building in the Mediterranean region: A case study of Albania" [Heliyon 10 (2024) e35174

Retraction notice to "Deep retrofitting toward net zero energy building in the Mediterranean region: A case study of Albania" [Heliyon 10 (2024) e35174

The Role of Social Media in Maternal Health: Balancing Awareness, Misinformation, and Commercial Interests

The implementation of AI parametric façade design counters business in an unprecedented manner, accommodating building flexibility, energy efficiency, and user comfort. This study investigates: the performance of AI-driven parametric façades in enhancing adaptive architectural performance through real-time optimization of energy efficiency and thermal comfort. The façade is AI-driven, using a combination of genetic algorithms and artificial neural networks, to dynamically respond to environmental conditions and minimize HVAC and lighting energy use while improving indoor climate stability. The testing through simulation demonstrates that façades AI-optimized outperform static systems by far, with higher energy savings, reduced indoor temperature swings, and improved comfort of the occupants. Sensitivity analysis also corroborated that AI-based façades could be responsive under different climate scenarios, thus assuring lasting sustainability and resilience. The conclusions drawn are align with existing intelligent façade control system literature and thereby position the data-driven architecture as a pathway to net-zero energy buildings (NZEBs). Future directions of research will involve hybrid AI approaches with smart BMS integration and real-life application, thereby enhancing façade performance. Through AI adaptive façade design, architects and engineers can facilitate the construction of energy-efficient, climate-sensitive, and sustainable built environments.

Deep learning for sensible cooling and heating loads associated with solar panels of residential buildings in arid climate

PurposeThis study aims to develop accurate prediction models for heating and cooling demands in buildings equipped with solar panels. By integrating renewable energy technologies, the goal is to design nearly energy-neutral buildings that significantly reduce energy consumption and enhance overall efficiency.Design/methodology/approachThe research utilizes deep learning models to address variables in building design, an area that previous studies have not fully explored. A dataset from arid climate regions was used to train and test two deep learning models to predict building energy consumption and solar energy output. The evaluation focused on how well the models predicted heating and cooling needs, as well as the amount of energy solar panels would need to generate in order to meet these demands. This approach represents an advancement over previous methodologies by integrating deep learning techniques with energy prediction in the context of arid climates, where energy efficiency is a critical concern.FindingsThe deep learning models developed in this study were highly accurate in predicting both heating and cooling requirements and the energy output from solar panels. This suggests that these models can effectively support the design of energy-efficient buildings, ensuring that the solar panels provide enough energy to cover the building’s needs.Originality/valueThis study introduces a novel method for predicting solar panel performance by integrating building characteristics with energy consumption, moving beyond traditional reliance on environmental factors. It optimizes energy management systems for arid climates, enhancing accuracy and applicability. The use of deep learning models with optimization techniques ensures precise and flexible predictions, providing a holistic solution for energy-efficient building design. The findings provide useful insights for architects and builders looking to create nearly zero-energy buildings, advancing the field of green building technologies.

Exploratory Research on Carbon Emission Accounting and Reduction Strategies for University Campuses in Severe Cold Zones of China

In this study, the carbon emissions of Jilin University of Architecture and Technology were comprehensively calculated using the “Guidelines for accounting of carbon emissions of university campuses” issued by the China Association for Energy Conservation in Buildings. The total emissions for 2023 amounted to 13,571.85 tonnes of CO2 equivalents, with a per person emission of 0.93 tonnes. Incorporating carbon offsets like green plant sequestration, renewable energy, and waste recycling reduced emissions by 9007.68 tonnes, resulting in a net emission of 4564.17 tonnes and a per person net emission of 0.31 tonnes. To further cut emissions, the university implemented strategies such as nearly zero-energy buildings, clean energy heating, energy monitoring, and green courses. Despite these efforts, achieving carbon neutrality remains challenging. The university could explore opportunities to increase renewable energy use or procure green electricity. Its adoption of clean electricity for heating in the severe cold zones not only supports carbon neutrality but also serves as a model for similar campuses.

Research and Demonstration of Operation Optimization Method of Zero-Carbon Building’s Compound Energy System Based on Day-Ahead Planning and Intraday Rolling Optimization Algorithm

The compound energy system is an important component of zero-carbon buildings. Due to the complex form of the system and the difficult-to-capture characteristics of thermo-electric coupling interactions, the operation control of the zero-carbon building’s energy system is difficult in practical engineering. Therefore, it is necessary to carry out relevant optimization methods. This paper investigated the current research status of the control and scheduling of compound energy systems in zero-carbon buildings at home and abroad, selected a typical zero-carbon building as the research object, analyzed its energy system’s operational data, and proposed an operation scheduling algorithm based on day-ahead flexible programming and intraday rolling optimization. The multi-energy flow control algorithm model was developed to optimize the operation strategy of heat pump, photovoltaic, and energy storage systems. Then, the paper applied the algorithm model to a typical zero-carbon building project, and verified the actual effect of the method through the actual operational data. After applying the method in this paper, the self-absorption rate of photovoltaic power generation in the building increased by 7.13%. The research results provide a theoretical model and data support for the operation control of the zero-carbon building’s compound energy system, and could promote the market application of the compound energy system.

Towards net zero energy building: AI-based framework for power consumption and generation prediction

Towards net zero energy building: AI-based framework for power consumption and generation prediction

Analysis of methods to transform existing buildings into Nearly Zero Energy Buildings (NZEB)

Analysis of methods to transform existing buildings into Nearly Zero Energy Buildings (NZEB)

Calibration study of uncertainty parameters for nearly-zero energy buildings based on a novel approximate Bayesian approach

Calibration study of uncertainty parameters for nearly-zero energy buildings based on a novel approximate Bayesian approach

An innovative structural energy storage solution using fly ash-cement composites for net-zero energy buildings

An innovative structural energy storage solution using fly ash-cement composites for net-zero energy buildings