scholarly journals ENERGY DEMAND REDUCTION TO ENSURE THERMAL COMFORT IN BUILDINGS USING ALUMINIUM FOAM

2016 ◽  
Vol 22 (4) ◽  
pp. 271 ◽  
Author(s):  
Jaroslav Jerz ◽  
František Simančík ◽  
Jaroslav Kováčik ◽  
Peter Oslanec Sr.

The high energy efficiency of buildings can be achieved if energy needs are almost entirely covered by the supply of renewable energy sources obtained directly on the building or in its immediate vicinity. The technology providing efficient storage of the heat at a time of excessive sunlight is necessary if a returns of investment for the construction of small houses with zero energy balance should be less than 10 years. The regular alternation of day and night cycle resulting in continuously changing amount of sunshine falling on the building roof causes even though a small but very well usable potential. The concept presented in this contribution is based on the storage of energy obtained through the aluminium foam roof and facade cladding, which are capable of absorbing the desired, or even take away the excess energy to the surroundings if necessary. The energy effectively generated by this way is by means of piping system distributed by heating liquid medium/coolant to interior ceiling heat exchangers made of aluminium foam enabling due to filling by <span style="text-decoration: underline;">P</span>hase <span style="text-decoration: underline;">C</span>hange <span style="text-decoration: underline;">M</span>aterial<span style="text-decoration: underline;">s</span> (PCMs) to store the energy required for heating/cooling for a period of at least several hours. This progressive technology, therefore, contributes significantly to reducing of energy demand and thus also the prices of future not only large buildings but also small family houses that are able to achieve the optimal thermal comfort by extremely low costs. Possibility to manufacture facade, as well as the interior panels of aluminium foam, is a good prerequisite for ensuring that these structural components could be in the nearest future made from fully recyclable aluminium alloys. This fact indicates large potential chance for long-term sustainable further development of above-mentioned advanced technologies.

2017 ◽  
Vol 9 (1) ◽  
pp. 5-14 ◽  
Author(s):  
Maryam Hamlehdar ◽  
Alireza Aslani

Abstract Today, the fossil fuels have dominant share of energy supply in order to respond to the high energy demand in the world. Norway is one of the countries with rich sources of fossil fuels and renewable energy sources. The current work is to investigate on the status of energy demand in Norway. First, energy and electricity consumption in various sectors, including industrial, residential are calculated. Then, energy demand in Norway is forecasted by using available tools. After that, the relationship between energy consumption in Norway with Basic economics parameters such as GDP, population and industry growth rate has determined by using linear regression model. Finally, the regression result shows a low correlation between variables.


2020 ◽  
Vol 12 (16) ◽  
pp. 6312
Author(s):  
Rana Pratap Singh ◽  
Hans Peter Nachtnebel ◽  
Nadejda Komendantova

Nepal could rely on its huge renewable energy potentials to meet its energy demand sustainably. Also, renewable energy sources are considered by several national policy makers and international organizations as an engine for socio-economic development of the country, which can provide access to electricity to everybody and stimulate economic activity and economic growth. Several efforts were taken by the national government to stimulate deployment of renewable energy electricity generation capacities. However, the country is still not able to cover its energy needs with renewable energy despite decades of efforts for their deployment. The assumption of this research was that uncertainty in energy policy and planning gaps in Nepal are connected with the dominance of a limited number of discourses and ignorance of other voices which might be helpful. Nowadays, evidence exists that a multi-stakeholder and multi-sector perspective is extremely important for sustainable development. We provide evaluation of various perspectives, including technical, social, economic, environmental, and political. We collect empirical data in frames of a comprehensive stakeholders’ process in Nepal. The stakeholders’ preferences are analyzed through various methods of decision support sciences such as multi criteria decision analysis. To fast track hydropower development, the government has classified them into five categories based on their generation capacity. Assessment of each category and their collective comparison on multiperspectives has never been tried. Hence, such an assessment leading towards their prioritization is the objective of the study. It may help to identify a suitable strategy or policy to maximize national benefits. The study carried within the framework of five alternatives (categories) of hydropower schemes and nine different hydropower perspectives applicable in Nepalese context. The scoring method based is on secondary source evidence is applied for assessment. The study ranks medium schemes (25 to 100 MW) as best in Nepalese context.


2006 ◽  
Vol 17 (4) ◽  
pp. 4-18 ◽  
Author(s):  
N Musee ◽  
L Lorenzen ◽  
C Aldrich

The current trend associated with high energy demand, depletion of energy reserves and low potential of renewable energy sources linked with strong industrial growth, is increasingly becoming unsustainable. As a result, production costs have increased considerably in the process industries, mainly owing to skewed energy demand and supply realities. A feasible strategy for meeting these challenges is to reduce energy consumption per unit throughput. However, to obtain a workable solution, decision makers may have to deal with energy management variables that are ambiguous, which makes solving the energy minimization problem with conventional numerical approaches very difficult. In this paper, we consider an alternative approach based on fuzzy logic to qualitatively evaluate the energy demand associated with an industrial cooling process. The model was formulated based on Mamdani fuzzy logic inferencing and implemented in MATLAB 6.5 via the Fuzzy Logic toolbox. The energy demands pertaining to specific variables were independently estimated, followed by an estimate of the overall energy consumption. The procedure is demonstrated via a case study of cooling at the maceration stage of a vinification process in the wine industry.


2019 ◽  
Vol 97 ◽  
pp. 01042
Author(s):  
Anna Lis

The WHO report shows that air in the majority of cities in the world is polluted to a large extent. Air pollution is one of the basic environmental causes of premature deaths in the world. The main source of air pollution in cities is the low emission associated with fuel combustion to generate heat for buildings heating, communication and industry. The existing buildings in Poland are characterized by high energy and, consequently, ecological potential. The aim is to estimate predicted energetic and ecological effects of activities that adapt existing residential buildings to the requirements for the thermal protection of buildings in Poland and presenting the possibility of using renewable energy sources. The energy demand for heating buildings at 60-70 kWh/(m2rok) has been adopted. The calculations show that as a result of this adjustment, the energy demand for heating in residential buildings may decrease by an average of around 67% compared to 2011. Such actions will reduce the overall emissions of air pollution from households by reducing the energy requirement for heating apartments from about 30% to about 67%, depending on the type of pollutant.


2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Kehinde Oladoke Olatunji ◽  
Noor A. Ahmed ◽  
Oyetola Ogunkunle

AbstractPopulation increase and industrialization has resulted in high energy demand and consumptions, and presently, fossil fuels are the major source of staple energy, supplying 80% of the entire consumption. This has contributed immensely to the greenhouse gas emission and leading to global warming, and as a result of this, there is a tremendous urgency to investigate and improve fresh and renewable energy sources worldwide. One of such renewable energy sources is biogas that is generated by anaerobic fermentation that uses different wastes such as agricultural residues, animal manure, and other organic wastes. During anaerobic digestion, hydrolysis of substrates is regarded as the most crucial stage in the process of biogas generation. However, this process is not always efficient because of the domineering stableness of substrates to enzymatic or bacteria assaults, but substrates’ pretreatment before biogas production will enhance biogas production. The principal objective of pretreatments is to ease the accessibility of the enzymes to the lignin, cellulose, and hemicellulose which leads to degradation of the substrates. Hence, the use of pretreatment for catalysis of lignocellulose substrates is beneficial for the production of cost-efficient and eco-friendly process. In this review, we discussed different pretreatment technologies of hydrolysis and their restrictions. The review has shown that different pretreatments have varying effects on lignin, cellulose, and hemicellulose degradation and biogas yield of different substrate and the choice of pretreatment technique will devolve on the intending final products of the process.


2021 ◽  
Vol 13 (5) ◽  
pp. 2718
Author(s):  
Bianca Seabra ◽  
Pedro F. Pereira ◽  
Helena Corvacho ◽  
Carla Pires ◽  
Nuno M. M. Ramos

Social housing represents a part of the whole building stock with a high risk of energy poverty, and it should be treated as a priority in renovation strategies, due to its potential for improvement and the need to fight that risk. Renovation actions are currently designed based on patterns that have been shown to be disparate from the reality of social housing. Thereby, a monitoring study is essential for the evaluation of the actual conditions. An in-depth characterization of a social housing neighborhood, located in the North of Portugal, was carried out. Indoor hygrothermal conditions were analyzed through a monitoring campaign. It was possible to identify the differences in indoor conditions of the dwellings and understand the influence of occupancy density and occupants’ behavior. In order to identify the actual occupancy and the type of use, a social survey was performed. A renovation action will soon take place, and a monitoring and survey plan is proposed for the post-renovation period, based on a previous evaluation of the renovation impact, using DesignBuilder software and the real occupancy profiles. In social housing context, since energy consumption for heating and cooling is punctual or non-existent, the focus of low energy renovation should be based on passive strategies that reduce the energy demand. The remaining energy needs should be supplied by renewable energy sources, reducing energy poverty, and enhancing quality of life.


2021 ◽  
Vol 13 (22) ◽  
pp. 12425
Author(s):  
Masoud Esfandiari ◽  
Suzaini Mohamed Zaid ◽  
Muhammad Azzam Ismail ◽  
Mohammad Reza Hafezi ◽  
Iman Asadi ◽  
...  

Energy consumption to cool an indoor environment is a substantial part of total energy end-use, particularly in a tropical climate with high energy demand for cooling. To improve energy efficiency, cooling systems can be optimized using a variety of neutral indoor temperatures to maintain a balance between an occupant’s thermal comfort and cooling energy demand. This explanatory study investigated the thermal quality and cooling energy demand of a Platinum-certified office building in the tropical climate of Malaysia. The investigation aimed to suggest a balance between occupant thermal comfort and cooling energy demand. The thermal investigation includes an objective field measurement that implements environmental equipment to monitor thermal quality and a subjective occupant’s thermal feedback using a questionnaire survey. To calculate cooling energy demand, the total equivalent temperature difference method (TETD) is applied. The results suggested an occupant’s cooling sensation of around 24 °C, with no significant difference concerning age and gender. Cooling load calculation indicated a 36% energy reduction by increasing air temperature to 26 °C, for occupants to feel thermally comfortable in a tropical climate. These findings contribute to improving sustainable energy policies, sustainable construction, and thermal comfort improvement for a tropical climate.


Author(s):  
Antonio Santos Sánchez ◽  
Maria João Regufe ◽  
Ana Mafalda Ribeiro ◽  
Idelfonso B.R. Nogueira

Institutional buildings need smart techniques to predict the energy consumption in a smart grids’ framework. Here, the importance of dynamic load forecasting as a tool to support the decision in smart grids is addressed. In addition, it is reviewed the energy consumption patterns of institutional buildings and the state-of-the-art of load forecast modeling using artificial neural networks. The discussion is supported by historical data from energy consumption in a university building. These data are used to develop a reliable model for the prediction of the electric load in a campus. A neural network model was developed, which can forecast the load with an average error of 6.5%, and this model can also be used as a decision tool to assess the convenience of supplying this load with a set of renewable energy sources. Statistical data that measure the availability of the local renewable sources can be compared with a load model in order to assess how well these energy sources match the energy needs of buildings. This novel application of load models was applied to the campus where a good correlation (Pearson coefficient of 0.803) was found between energy demand and the availability of the solar resource in the campus.


Sign in / Sign up

Export Citation Format

Share Document