scholarly journals The comparison of calculation methods of gas demand in the installation with combi boilers

2018 ◽  
Vol 44 ◽  
pp. 00058
Author(s):  
Andrzej Jedlikowski ◽  
Sebastian Englart
Keyword(s):  
Natural Gas ◽  
Residential Buildings ◽  
Hot Water ◽  
Calculation Methods ◽  
Water Heaters ◽  
Single Function ◽  
Gas Consumption ◽  
Natural Gas Demand ◽  
Reliable Methods ◽  
Selection Of

Combi boilers offer an economic alternative to individual single function gas boilers and instantaneous water heaters. These gas appliances allow for producing thermal energy for two heating purposes (space heating and hot water preparation). For this reason these compact and highly efficient devices are becoming increasingly popular in many residential buildings. The application of such heating systems often requires an adequate approach for determining the natural gas demand. The literature indicates several methods for this purpose, which often differ significantly. Differences in calculated results seem to be the main problem with these methods. Unfortunately, the selection of the above-mentioned gas appliances always causes overestimation of natural gas demand. This is mainly due to the fact that many calculation methods contain incorrect gas demand coefficients. Therefore, this paper presents various methods for estimating gas consumption for multi-family buildings. It provides discussion and analysis of various calculation methods for residential buildings equipped with two types of gas appliance. The performed analysis made it possible to indicate the most reliable methods of gas demand calculation.

Research of pressure influence in the gas supply system on the energy consuption level of gas devices

2019 ◽  
Vol 6 (2) ◽  
pp. 56-63
Author(s):  
L. D. Pylypiv ◽  
І. І. Maslanych
Keyword(s):  
Natural Gas ◽  
Residential Buildings ◽  
Supply System ◽  
Normal Operation ◽  
Gas Combustion ◽  
Efficient Operation ◽  
Gas Consumption ◽  
Natural Gas Combustion ◽  
Gas Supply

There are investigated the influence of operating pressures in the gas supply system on the level of such energy indicators as efficiency, gas flow and gas overrun by gas equipment in residential buildings. There is established a relationship between the values of operating pressures in the gas supply system and the gas consumption level of household appliances. The causes of insufficient pressure in the gas networks of settlements are analyzed in the article. There is also developed an algorithm for calculating the change in the efficiency of gas appliances depending on the operational parameters of the gas network. It has been found that the most efficient operation of gas appliances is observed at an overpressure at the inlet of gas appliances of about 1200 Pa.To ensure the required quality of natural gas combustion among consumers and minimize gas consumption there are justified the following measures in the article: coordinating a domestic regulatory framework for assessing the quality of natural gas with international norms and standards; improving the preparation of gas coming from local wells before supplying it to gas distribution networks; auditing low pressure gas pipelines and reconstructing areas affected by corrosion; ensuring standard gas pressure in the network for the normal operation of domestic gas appliances; stating quality indicators of natural gas combustion by gas sales organizations.

Cost and environmental performance of forced air and hot water heating systems in post-Soviet countries

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Begmyrat Kulmedov ◽  
Serdar Durdyev
Keyword(s):  
Natural Gas ◽  
Environmental Performance ◽  
Residential Buildings ◽  
Electricity Consumption ◽  
Cost Effective ◽  
Hot Water ◽  
Design Stage ◽  
High Price ◽  
Content Type ◽  
Heating Systems

PurposeThe aim of the present study is to assess the selected heating systems (furnace and boiler) commonly used in the dwellings of seven post-USSR (the Union of Soviet Socialist Republics) countries. The systems were assessed in terms of their cost and environmental performance, with natural gas and electricity used as the main source of energy.Design/methodology/approachThe cost-effectiveness and environmental performance of the selected heating systems that have been commonly used in the selected post-USSR countries was assessed. Current energy (natural gas and electricity) prices that are applied in those countries were used.FindingsResults show that the furnace is the cheapest option, while natural gas is the cheapest source of energy, despite its high price in Tajikistan and Kyrgyzstan. Both heating systems could be considered eco-friendly options, although their efficiencies need to be considered at the design stage. Turkmenistan, Uzbekistan and Kazakhstan, which are the top natural gas producers, offer natural gas for the selected heating systems as both cost-effective and eco-friendly options.Practical implicationsA considerable reduction in electricity consumption and less harm to our environment can be achieved through the systems used in residential buildings in the region.Originality/valueThe outcomes of the present study offer value (in terms of cost-effective and eco-friendly options) for the end-users in the region.

scholarly journals Integration of Micro-Cogeneration Units and Electric Storages into a Micro-Scale Residential Solar District Heating System Operating with a Seasonal Thermal Storage

Energies ◽  
2020 ◽  
Vol 13 (20) ◽  
pp. 5456
Author(s):  
Antonio Rosato ◽  
Antonio Ciervo ◽  
Giovanni Ciampi ◽  
Michelangelo Scorpio ◽  
Sergio Sibilio
Keyword(s):  
Natural Gas ◽  
Residential Buildings ◽  
Electric Energy ◽  
District Heating ◽  
Thermal Storage ◽  
Hot Water ◽  
District Heating System ◽  
Domestic Hot Water ◽  
Micro Scale ◽  
Gas Fueled

A micro-scale district heating network based on the operation of solar thermal collectors coupled to a long-term borehole thermal storage is modeled, simulated and investigated over a period of five years. The plant is devoted to covering the domestic hot water and space heating demands of a district composed of six typical residential buildings located in Naples (southern Italy). Three alternative natural gas-fueled back-up auxiliary systems (condensing boiler and two different technologies of micro-cogeneration) aiming at balancing the solar energy intermittency are investigated. The utilization of electric storages in combination with the cogeneration systems is also considered with the aim of improving the self-consumption of cogenerated electric energy; heat recovery from the distribution circuit is also evaluated to pre-heat the mains water for domestic hot water production. The performances of the proposed plant schemes are contrasted with those of a typical Italian decentralized heating plant (based on the utilization of natural gas-fueled non-condensing boilers). The comparison highlighted that the proposed configurations can decrease the primary energy consumption (up to 11.3%), the equivalent emissions of carbon dioxide (up to 11.3%), and the operation costs (up to 14.3%), together with an acceptable simple pay-back period (about 4.4 years).

scholarly journals Forecasting of Day-Ahead Natural Gas Consumption Demand in Greece Using Adaptive Neuro-Fuzzy Inference System

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2317 ◽  
Author(s):  
Konstantinos Papageorgiou ◽  
Elpiniki I. Papageorgiou ◽  
Katarzyna Poczeta ◽  
Dionysis Bochtis ◽  
George Stamoulis
Keyword(s):  
Neural Networks ◽  
Natural Gas ◽  
Fuzzy Inference ◽  
Inference System ◽  
Hybrid Combination ◽  
Neuro Fuzzy ◽  
Gas Consumption ◽  
Natural Gas Consumption ◽  
Natural Gas Demand ◽  
Consumption Demand

(1) Background: Forecasting of energy consumption demand is a crucial task linked directly with the economy of every country all over the world. Accurate natural gas consumption forecasting allows policy makers to formulate natural gas supply planning and apply the right strategic policies in this direction. In order to develop a real accurate natural gas (NG) prediction model for Greece, we examine the application of neuro-fuzzy models, which have recently shown significant contribution in the energy domain. (2) Methods: The adaptive neuro-fuzzy inference system (ANFIS) is a flexible and easy to use modeling method in the area of soft computing, integrating both neural networks and fuzzy logic principles. The present study aims to develop a proper ANFIS architecture for time series modeling and prediction of day-ahead natural gas demand. (3) Results: An efficient and fast ANFIS architecture is built based on neuro-fuzzy exploration performance for energy demand prediction using historical data of natural gas consumption, achieving a high prediction accuracy. The best performing ANFIS method is also compared with other well-known artificial neural networks (ANNs), soft computing methods such as fuzzy cognitive map (FCM) and their hybrid combination architectures for natural gas prediction, reported in the literature, to further assess its prediction performance. The conducted analysis reveals that the mean absolute percentage error (MAPE) of the proposed ANFIS architecture results is less than 20% in almost all the examined Greek cities, outperforming ANNs, FCMs and their hybrid combination; and (4) Conclusions: The produced results reveal an improved prediction efficacy of the proposed ANFIS-based approach for the examined natural gas case study in Greece, thus providing a fast and efficient tool for utterly accurate predictions of future short-term natural gas demand.

Selection of Hot Water Supply Metering Devices for Residential Buildings

2015 ◽  
Vol 725-726 ◽  
pp. 1267-1272 ◽  
Author(s):  
Viktor Pukhkal ◽  
Boris Jurmanov
Keyword(s):  
Water Supply ◽  
Flow Rate ◽  
Water Consumption ◽  
Residential Buildings ◽  
Residential Building ◽  
Hot Water ◽  
Water Supply Systems ◽  
Hot Water Supply ◽  
Selection Of ◽  
Water Meter

Experimental measurements of actual hot water consumption in residential building have been performed. It was established that distribution of hot water for domestic needs has random character and constitutes non-stationary process. It was proposed for hot water supply systems calculation to employ “rated mode of water consumption”. Rated mode is a simplified mathematical description of entire ordered collection of hourly consumptions anticipated during rated period of hot water supply system operation. Most precise description of water consumption rated mode may be obtained with coefficient of general hourly discontinuity at 98% coverage. Selection of hot water metering devices for residential house requires that operating flow rate of water meter should correspond by maximum to residential building water consumption parameters. Methods of calculation of daily water volumes passing through water meter at flow rates lower than transient flow rate value for the specified device were proposed.

Price and Income Elasticities of Natural Gas Demand in Egypt: A Bound Test Approach

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Markos Farag ◽  
Chahir Zaki
Keyword(s):  
Natural Gas ◽  
Economic Activity ◽  
Income Elasticities ◽  
Price And Income Elasticities ◽  
Long Run ◽  
Short Run ◽  
Gas Consumption ◽  
Natural Gas Consumption ◽  
Natural Gas Demand ◽  
Income And Price Elasticities

Abstract This paper provides short and long-run estimates of price and income elasticities of Egypt’s natural gas demand using the ARDL bounds testing approach to cointegration over the period 1983–2015. The results show that the long-run income and price elasticities, in absolute values, are greater than their counterparts in the short run. This result is due to the fact that consumers can modify their consumption habits and plans in the long run as a response to changes in the income or the price. Moreover, natural gas demand is more responsive to changes in income than changes in price in both the short and long run. Finally, the study examines the causality relationship between natural gas consumption and economic growth for the gas-consuming sectors in Egypt. The results indicate that there is no causal relationship between the two variables for the electricity, petroleum, and household sectors in the short-run. By contrast, there is a unidirectional causality running from natural gas consumption to the economic activity of the transportation sector and a unidirectional causality running from economic activity to natural gas consumption by the industry sector.

scholarly journals Peak Power of Heat Source for Domestic Hot Water Preparation (DHW) for Residential Estate in Poland as a Representative Case Study for the Climate of Central Europe

Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 8047
Author(s):  
Łukasz Amanowicz
Keyword(s):  
Heat Source ◽  
Peak Power ◽  
Residential Buildings ◽  
Renewable Energy Sources ◽  
Hot Water ◽  
Correct Selection ◽  
Domestic Hot Water ◽  
Heat Demand ◽  
Selection Of

Due to the energy transformation in buildings, the proportions of energy consumption for heating, ventilation and domestic hot water preparation (DHW) have changed. The latter component can now play a significant role, not only in the context of the annual heat demand, but also in the context of selecting the peak power of the heat source. In this paper, the comparison of chosen methods for its calculation is presented. The results show that for contemporary residential buildings, the peak power for DHW preparation can achieve the same or higher value as the peak power for heating and ventilation. For this reason, nowadays the correct selection of the peak power of a heat source for DHW purposes becomes more important, especially if it uses renewable energy sources, because it affects its size and so the investment cost and economic efficiency. It is also indicated that in modern buildings, mainly accumulative systems with hot water storage tanks should be taken into account because they are less sensitive to design errors (wrongly selected peak value in the context of the uncertainty of hot water consumption) and because they result in acceptable value of peak power for DHW in comparison to heating and ventilation.

scholarly journals Deep Reinforcement Learning for Autonomous Water Heater Control

Buildings ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 548
Author(s):  
Kadir Amasyali ◽  
Jeffrey Munk ◽  
Kuldeep Kurte ◽  
Teja Kuruganti ◽  
Helia Zandi
Keyword(s):  
Reinforcement Learning ◽  
Residential Buildings ◽  
Electricity Consumption ◽  
The United States ◽  
Hot Water ◽  
Water Heater ◽  
Pricing Policy ◽  
Electricity Cost ◽  
Water Heaters ◽  
Model Free

Electric water heaters represent 14% of the electricity consumption in residential buildings. An average household in the United States (U.S.) spends about USD 400–600 (0.45 ¢/L–0.68 ¢/L) on water heating every year. In this context, water heaters are often considered as a valuable asset for Demand Response (DR) and building energy management system (BEMS) applications. To this end, this study proposes a model-free deep reinforcement learning (RL) approach that aims to minimize the electricity cost of a water heater under a time-of-use (TOU) electricity pricing policy by only using standard DR commands. In this approach, a set of RL agents, with different look ahead periods, were trained using the deep Q-networks (DQN) algorithm and their performance was tested on an unseen pair of price and hot water usage profiles. The testing results showed that the RL agents can help save electricity cost in the range of 19% to 35% compared to the baseline operation without causing any discomfort to end users. Additionally, the RL agents outperformed rule-based and model predictive control (MPC)-based controllers and achieved comparable performance to optimization-based control.

scholarly journals Natural Gas Demand Estimation for India: Error Correction Modelling

2019 ◽  
Vol 8 (5S3) ◽  
pp. 429-437
Keyword(s):  
Natural Gas ◽  
Error Correction ◽  
National Level ◽  
Primary Energy ◽  
Indian Government ◽  
Energy Mix ◽  
Gas Consumption ◽  
Gas Market ◽  
The Government ◽  
Natural Gas Demand

Share of fossil fuel in India’s primary energy mix is around 92% with natural gas contributing 6% in it. The power, fertilizer and city gas distribution (CGD) sector are the major gas-consuming sector in India. Despite the government efforts to increase the share of natural gas in the primary energy mix, the country still has low per capita gas consumption. In order to enhance natural gas consumption in the country, the Indian government has set up a target to increase natural gas share in the energy mix to 15% by 2022. Therefore, the issue of estimation of the natural gas demand is addressed in the present paper to understand the dynamics of the natural gas market. The error correction model (ECM) is applied at a national and sectoral level to examine the domestic gas demand in India. The study reveals the following findings: (a) At the national and sectoral level, the last year gas consumption is an only statistically significant factor; (b) Price, population and income are not statistically significant at national and sectoral level and (c) Demand for natural gas is price inelastic at the national level

scholarly journals Natural Gas Saving And Emissions Decrease In Public Health Care Sector – A Case Study

2019 ◽  
Vol 29 (1) ◽  
pp. 102-118
Author(s):  
Otto Mierka ◽  
Miroslav Variny ◽  
Ingrida Skalíková ◽  
Peter Sámel ◽  
Ján Kizek ◽  
...  
Keyword(s):  
Public Health ◽  
Health Care ◽  
Natural Gas ◽  
Health Care Sector ◽  
Hot Water ◽  
Public Health Care ◽  
Blow Down ◽  
Water Steam ◽  
Gas Consumption ◽  
Natural Gas Consumption

Abstract A study on natural gas saving and emissions decrease in the public health care sector is presented. The analyzed hospital complex belongs to the largest ones in Slovakia and uses both hot water and water steam for heating purposes. Visual steam system inspection revealed serious inefficiencies, including steam venting, missing pipelines insulation and obsolete steam sources with dysfunctional blow-down system. Defined experiment with stepwise steam appliances shutdown enabled quantification of excess natural gas consumption due to these inefficiencies. Measures proposed for the solution of this state are inexpensive, with a short payback period. The expected natural gas savings amount up to 3200 MWh/year, which represents roughly 50% of the total natural gas consumption in the hospital complex.

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