scholarly journals Towards assessing buildability in wood framed, superinsulated wall assemblies.

2021 ◽  
Author(s):  
Nicholas P. Erb
Keyword(s):  
Energy Consumption ◽  
North America ◽  
Case Studies ◽  
Local Context ◽  
Saving Energy ◽  
Passive House ◽  
Building Science ◽  
Reduce Energy Consumption

A superinsulated home has many attractive attributes including reducing CO2, saving energy and smaller energy bills. The Passive House certification—which originated in Europe—proves that superinsulating is an effective way to reduce energy consumption. As the popularity of superinsulation grows in North America, the need to assess the buildability of these structures increases. This MRP identifies six metrics of buildability for wood framed, superinsulated walls and creates a tool which can be used to assess the buildability of these assemblies. The tool will assess a specific set of working drawings in their local context. The tool is simple to use, assuming that the user has an understanding of the basics of building science and an understanding of the capabilities of the local trades and the local availability of materials. The initial tool was tested by identifying the strengths and weaknesses of a series of case studies for most of the metrics. A revised tool is proposed which has been refined to address the shortcomings of the initial tool.

scholarly journals Towards assessing buildability in wood framed, superinsulated wall assemblies.

2021 ◽  
Author(s):  
Nicholas P. Erb
Keyword(s):  
Energy Consumption ◽  
North America ◽  
Case Studies ◽  
Local Context ◽  
Saving Energy ◽  
Passive House ◽  
Building Science ◽  
Reduce Energy Consumption

A superinsulated home has many attractive attributes including reducing CO2, saving energy and smaller energy bills. The Passive House certification—which originated in Europe—proves that superinsulating is an effective way to reduce energy consumption. As the popularity of superinsulation grows in North America, the need to assess the buildability of these structures increases. This MRP identifies six metrics of buildability for wood framed, superinsulated walls and creates a tool which can be used to assess the buildability of these assemblies. The tool will assess a specific set of working drawings in their local context. The tool is simple to use, assuming that the user has an understanding of the basics of building science and an understanding of the capabilities of the local trades and the local availability of materials. The initial tool was tested by identifying the strengths and weaknesses of a series of case studies for most of the metrics. A revised tool is proposed which has been refined to address the shortcomings of the initial tool.

An intelligent system for energy management in smart cities based on big data and ontology

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zaoui Sayah ◽  
Okba Kazar ◽  
Brahim Lejdel ◽  
Abdelkader Laouid ◽  
Ahmed Ghenabzia
Keyword(s):  
Big Data ◽  
Energy Consumption ◽  
Energy Saving ◽  
Intelligent System ◽  
Smart Cities ◽  
Semantic Integration ◽  
Saving Energy ◽  
Content Type ◽  
Multi Agent ◽  
Reduce Energy Consumption

PurposeThis research paper aims at proposing a framework based on semantic integration in Big Data for saving energy in smart cities. The presented approach highlights the potential opportunities offered by Big Data and ontologies to reduce energy consumption in smart cities.Design/methodology/approachThis study provides an overview of semantics in Big Data and reviews various works that investigate energy saving in smart homes and cities. To reach this end, we propose an efficient architecture based on the cooperation between ontology, Big Data, and Multi-Agent Systems. Furthermore, the proposed approach shows the strength of these technologies to reduce energy consumption in smart cities.FindingsThrough this research, we seek to clarify and explain both the role of Multi-Agent System and ontology paradigms to improve systems interoperability. Indeed, it is useful to develop the proposed architecture based on Big Data. This study highlights the opportunities offered when they are combined together to provide a reliable system for saving energy in smart cities.Practical implicationsThe significant advancement of contemporary applications (smart cities, social networks, health care, IoT, etc.) requires a vast emergence of Big Data and semantics technologies in these fields. The obtained results provide an improved vision of energy-saving and environmental protection while keeping the inhabitants’ comfort.Originality/valueThis work is an efficient contribution that provides more comprehensive solutions to ontology integration in the Big Data environment. We have used all available data to reduce energy consumption, promote the change of inhabitant’s behavior, offer the required comfort, and implement an effective long-term energy policy in a smart and sustainable environment.

scholarly journals Study of the possibility of implementation in Finland of the Passivhaus concept in order to reduce energy consumption

2020 ◽  
Vol 305 ◽  
pp. 00071
Author(s):  
Andreea Cristina Tataru ◽  
Aurora Stanci
Keyword(s):  
Energy Consumption ◽  
Energy Demand ◽  
Primary Energy ◽  
Passive House ◽  
Total Consumption ◽  
Climate Conditions ◽  
Primary Energy Demand ◽  
Reduce Energy Consumption

Passive building has been defined by Wolfgang Feist, Passivhaus Institut, as being the building that demand for heating must not be more than 15 kWh/m² year, and total consumption of primary energy should not be more than 120 kWh/m² year. In this paper we strive to study at the concept of ’passive house’ in the Finland. Using the Passive House Planning Package (PHPP) software 2007 calculate the heating requirements for such a House, depending on the latitude and climate conditions in the locality. For the study were selected 6 cities from Finland placed to different latitudes and climatic areas. To determine the possibility of implementing the concept ”passive House” must be determined: required heating, cooling demand and primary energy demand. In order to implement this concept should not exceed maximum limits.

Geographical aspects of the diffusion of passive houses

2013 ◽  
Vol 4 (2) ◽  
pp. 151-156 ◽  
Author(s):  
G. Kozma ◽  
E. Molnár ◽  
K. Czimre ◽  
J. Pénzes
Keyword(s):  
Energy Consumption ◽  
Energy Resources ◽  
Substantial Part ◽  
Renewable Energy Resources ◽  
Passive House ◽  
The Earth ◽  
Passive Houses ◽  
The Individual ◽  
Geographical Locations ◽  
Over Time

Abstract In our days, energy issues belong to the most important problems facing the Earth and the solution may be expected partly from decreasing the amount of the energy used and partly from the increased utilisation of renewable energy resources. A substantial part of energy consumption is related to buildings and includes, inter alia, the use for cooling/heating, lighting and cooking purposes. In the view of the above, special attention has been paid to minimising the energy consumption of buildings since the late 1980s. Within the framework of that, the passive house was created, a building in which the thermal comfort can be achieved solely by postheating or postcooling of the fresh air mass without a need for recirculated air. The aim of the paper is to study the changes in the construction of passive houses over time. In addition, the differences between the geographical locations and the observable peculiarities with regard to the individual building types are also presented.

Naval Energy Management System

2020 ◽  
Vol 26 (3) ◽  
pp. 20-25
Author(s):  
Laurențiu Bogdan Asalomia ◽  
Gheorghe Samoilescu
Keyword(s):  
Energy Consumption ◽  
Power Systems ◽  
New Technologies ◽  
Integrated Navigation ◽  
Integrated Navigation System ◽  
Efficient Management ◽  
Reduce Energy Consumption ◽  
Energy Efficiency Design Index ◽  
Green Ship

AbstractThe paper analyses the role of control and monitoring of electro-energetic equipment in order to reduce operational costs, increase profits and reduce carbon emissions. The role of SCADA and EcoStruxure Power systems is presented and analysed taking into account the energy consumption and its savings. The paper presents practical and modern solutions to reduce energy consumption by up to 53%, mass by up to 47% and increase the life of the equipment by adjusting the electrical parameters. The Integrated Navigation System has allowed an automatic control and an efficient management. For ships, the implementation of an energy efficiency design index and new technologies was required for the GREEN SHIP project.

The Research of Measuring Approach and Energy Efficiency for Hadoop Periodic Jobs

2015 ◽  
Vol 8 (1) ◽  
pp. 206-210 ◽  
Author(s):  
Yu Junyang ◽  
Hu Zhigang ◽  
Han Yuanyuan
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Energy Consumption ◽  
Energy Saving ◽  
Energy Estimate ◽  
Cloud Platform ◽  
Periodic Tasks ◽  
Current Consumption ◽  
Reduce Energy Consumption

Current consumption of cloud computing has attracted more and more attention of scholars. The research on Hadoop as a cloud platform and its energy consumption has also received considerable attention from scholars. This paper presents a method to measure the energy consumption of jobs that run on Hadoop, and this method is used to measure the effectiveness of the implementation of periodic tasks on the platform of Hadoop. Combining with the current mainstream of energy estimate formula to conduct further analysis, this paper has reached a conclusion as how to reduce energy consumption of Hadoop by adjusting the split size or using appropriate size of workers (servers). Finally, experiments show the effectiveness of these methods as being energy-saving strategies and verify the feasibility of the methods for the measurement of periodic tasks at the same time.

Performance Analysis of Energy Efficient Opportunistic Routing Protocols in Wireless Sensor Network

2019 ◽  
Vol 09 ◽  
Author(s):  
Premkumar Chithaluru ◽  
Rajeev Tiwari ◽  
Kamal Kumar
Keyword(s):  
Energy Consumption ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Data Communication ◽  
Opportunistic Routing ◽  
Link Quality ◽  
Delivery Ratio ◽  
Performance Parameters ◽  
Wireless Medium ◽  
Reduce Energy Consumption

Background: Energy Efficient wireless routing has been an area of research particularly to mitigate challenges surrounding performance in category of Wireless Networks. Objectives: The Opportunistic Routing (OR) technique was explored in recent times and exhibits benefits over many existing protocols and can significantly reduce energy consumption during data communication with very limited compromise on performance. Methods : Using broadcasting nature of the wireless medium, OR practices to discourse two foremost issues of variable link quality and unpredictable node agility in constrained WSNs. OR has a potential to reduce delay in order to increase the consistency of data delivery in network. Results : Various OR based routing protocols have shown varying performances. In this paper, a detailed conceptual and experimental analysis is carried out on different protocols that uses OR technique for providing more clear and definitive view on performance parameters like Message Success Rate, Packet Delivery Ratio and Energy Consumption.

scholarly journals Assessing the Value of Demand Response in Microgrids

2021 ◽  
Vol 13 (11) ◽  
pp. 5848
Author(s):  
Isaías Gomes ◽  
Rui Melicio ◽  
Victor M. F. Mendes
Keyword(s):  
Decision Making ◽  
Energy Consumption ◽  
Energy Storage ◽  
Case Studies ◽  
Demand Response ◽  
Storage Systems ◽  
Computer Application ◽  
Market Prices ◽  
Proper Formulation ◽  
Operation Case

This paper presents a computer application to assist in decisions about sustainability enhancement due to the effect of shifting demand from less favorable periods to periods that are more convenient for the operation of a microgrid. Specifically, assessing how the decisions affect the economic participation of the aggregating agent of the microgrid bidding in an electricity day-ahead market. The aggregating agent must manage microturbines, wind systems, photovoltaic systems, energy storage systems, and loads, facing load uncertainty and further uncertainties due to the use of renewable sources of energy and participation in the day-ahead market. These uncertainties cannot be removed from the decision making, and, therefore, require proper formulation, and the proposed approach customizes a stochastic programming problem for this operation. Case studies show that under these uncertainties and the shifting of demand to convenient periods, there are opportunities to make decisions that lead to significant enhancements of the expected profit. These enhancements are due to better bidding in the day-ahead market and shifting energy consumption in periods of favorable market prices for exporting energy. Through the case studies it is concluded that the proposed approach is useful for the operation of a microgrid.

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