scholarly journals Minimizing the supply temperature at the district heating plant – dynamic optimization

2019 ◽  
Vol 118 ◽  
pp. 02004 ◽  
Author(s):  
Stanislav Chicherin ◽  
Lyazzat Junussova ◽  
Timur Junussov
Keyword(s):  
Promising Result ◽  
Electricity Consumption ◽  
District Heating ◽  
Heat Losses ◽  
Knowing That ◽  
Pump Station ◽  
Starting Point ◽  
Point Set

The constraint contains two elements, namely the heat losses and the electricity consumption for pumping at the producer. The aim was to achieve the lowest acceptable costs in an operation. The options with the supply temperature at the area starting point set to 80/60, then 60/40, and eventually 50/30 (low temperature, 4th generation district heating) were tested. The balance between the savings due to lower heat losses and the electricity consumption of pumps could be performed to assess the economic viability of the solution. This means that if the electricity price is sufficiently high, the model will always choose to minimize electricity consumption and thereby, maximise the profit from high temperature difference. Results concerning heat losses consider both experiences of proper insulation of pipes with variety of design outdoor temperatures (DOTs) and long term measurements from a pump station for district heating (DH) network in Canberra, Australia. We also noted that the heat energy tariffs and purchase price of electricity affect a lot optimal configuration of a DH system. For the best scenario, solutions are obtained that reach over 12% of the available saving potential after calculating 11 equations. Knowing that the policy is updated on a case study base, this is considered a promising result.

scholarly journals Understanding the Factors Affecting Sustainable Energy Action Plan: A Case Study From the Covenant of Mayors Signatory Municipality in the Aegean Region of Turkey

2021 ◽  
Vol 12 ◽  
Author(s):  
Mehmet Efe Biresselioglu ◽  
Muhittin Hakan Demir
Keyword(s):  
Public Transportation ◽  
Central Government ◽  
Sustainable Energy ◽  
Action Plan ◽  
District Heating ◽  
Government Support ◽  
Aegean Region ◽  
Horizon 2020 ◽  
Starting Point

This study presents the case of a Metropolitan Municipality in the Aegean Region of Turkey, which undertook a series of initiatives to conduct projects on environmental protection and sustainability. This case study was conducted as two separate studies as a part of Horizon 2020-funded ECHOES project under Work Package 6, aiming to gain insight into the collective magnitudes of energy-related choices and behavior. The starting point of the process is marked, in 2015, by the municipality becoming a party to the Covenant of Mayors movement, joining around 8,000 signatories from over 50 countries. In line with European Union’s (EU’s) climate targets and associated energy-related policies, signatories of the Covenant of Mayors aim to decrease carbon emissions by 20% by 2020 and by 40% by 2030. In order to enhance the design and operationalization of policies for achieving these targets, each partner in the Covenant of Mayors is required to develop a Sustainable Energy Action Plan (SEAP). The SEAP is to be prepared within 2 years of becoming a party to the Covenant of Mayors and involves action plans and projects in order to operationalize the strategies for achieving the associated targets. To this end, this study analyzes the Metropolitan Municipality’s SEAP and its components, which include zero-emission public transportation project, transformation of existing buildings to a more energy-efficient standard and related energy audit studies, a project for decreasing waiting periods in traffic via a Smart Traffic System, a pedestrianization project, and a project for increasing the use of geothermal energy for district heating. This study set out to identify the internal and external factors, as well as bottom-up and top-down mechanisms involved in various phases of the preparation and implementation of the SEAP. The research method was expert interviews, incorporating viewpoints and perceptions of stakeholders from different levels of the municipality. Among the key results are understanding the roles of enthusiasts and frontrunners in such initiative and the importance of top-management and central government support.

The Present Age: A Case Study

2018 ◽  
pp. 73-81
Author(s):  
David Wood
Keyword(s):  
Moral Emotions ◽  
Short Term ◽  
Extended Treatment ◽  
Knowing That ◽  
The Media

This chapter deals with the question of historical mood: how to diagnose a mood, how to avoid obvious simplifications or idealizations, how to think through the relationships between a mood and its underlying conditions, what possibilities for transformation there are, and how moods affect agency. Trawling the media for comments about the present age it is hard to escape the language of passion and mood. Notable among these moral emotions are anger and ressentiment. Heidegger’s extended treatment of boredom opens up a deeper look at the significance of mood. Todays “mood” (anxiety, anger, ressentiment…) is tied both to short-term frustration (which may be cultural as well as economic), long term anxiety (what are our prospects?), and ultimate unsustainability (perhaps only dimly glimpsed). It is too easy to say that these are all problems of calculative time. But security, predictability (up to a point), and confidence in our ability to plan ahead enable a range of virtues. Finally, the relation between mood and agency—my frustration being tied to knowing that I alone cannot make much difference (though perhaps together we can)—is linked to the multiplicities of “we” in play, not only of agency, but also of constituency and impact.

scholarly journals The need for a long-term mindset when measuring the effects of lean on health-related quality management values

2017 ◽  
Vol 10 (3) ◽  
pp. 249-264 ◽  
Author(s):  
Pernilla Ingelsson ◽  
Ingela Bäckström
Keyword(s):  
Quality Management ◽  
Health Related Quality ◽  
Content Type ◽  
The Public ◽  
Starting Point ◽  
Before And After ◽  
Related Quality ◽  
Health Related

Purpose The purpose of this paper is to investigate the effects a lean initiative has on the health-related quality management (QM) values, “Leadership Commitment” and “Participation of Everybody,” as well as on perceived co-worker health in the public sector. Design/methodology/approach A case study was carried out at a municipal division that had been working with lean for approximately 18 months. A questionnaire was used to measure the effect on health-related QM values both before and after the initial 18 month period. Documents from the intended lean implementation were studied at the starting point and after 18 months; this was followed up by examining new documents. The results from the questionnaires were analyzed using SPSS and the documents were analyzed by means of document comparisons and consensus discussion in the research group. Findings The effects on the health-related QM values; “Leadership Commitment” and “Participation of everybody” in this study showed that the values still permeated the organization to a relatively high extent after 18 months but that no statistical differences can be shown between the two measurement points. When measuring what effects a lean initiative has on values, a period of 18 months might be too short, if significance changes are expected. None the less, the results can be a way of monitoring the development of these softer values. Something that is equally important is to see if there have been any major changes, as a way of keeping the work with building a new culture alive and in focus. The results strengthen the assumption that a long-term mindset is needed when QM initiatives such as lean are applied within an organization especially when changes to values and workplaces are expected. Originality/value This study has further explored the QM in relation to lean in the respect of how the QM values “Leadership commitment” and “Participation of Everybody” are effected by a lean initiative.

scholarly journals Application of LEAP model on long-term electricity demand forecasting in Indonesia, period 2010-2025

2018 ◽  
Vol 49 ◽  
pp. 02007 ◽  
Author(s):  
Jaka Windarta ◽  
Bambang Purwanggono ◽  
Fuad Hidayanto
Keyword(s):  
Demand Forecasting ◽  
Electricity Consumption ◽  
Electricity Demand ◽  
Planning System ◽  
Large Country ◽  
Electricity Demand Forecasting ◽  
Electricity Planning ◽  
Business As Usual

Electricity demand forecasting is an important part in energy management especially in electricity planning. Indonesia is a large country with a pattern of electricity consumption which continues to increase, therefor need to forecasting electricity demand in order to avoid unbalance demand and supply or deficit energy. LEAP (Long-range Energy Alternative Planning System) as a tool energy model and Indonesia as a case study. Basically, electricity demand is influenced by population, economy and electricity intensity. The purpose of this study is to provide understanding and application of electricity demand forecasting by using LEAP. The base year is 2010 and end year projection is 2025. The scenarios of simulated model consist of two scenarios. They are Business as Usual (BAU) and Government policy scenario. Results of both scenarios indicate that end year electricity demand forecasting in Indonesia increased more than two fold compared to base year.

scholarly journals Assessing building energy efficiency with the help of specific heat demand characteristics: boreal regions of Russia case study

2020 ◽  
Vol 208 ◽  
pp. 02011
Author(s):  
Lyazzat Junussova ◽  
Andrey Zhuikov ◽  
Anatoly Matiushenko ◽  
Stanislav Chicherin ◽  
Anna Ilicheva
Keyword(s):  
District Heating ◽  
Ground Level ◽  
Building Energy ◽  
Heat Losses ◽  
Building Energy Efficiency ◽  
System Efficiency ◽  
Thermal Camera ◽  
Demand Characteristics ◽  
Heat Demand

When data on certain variables is not available for the construction of a building, generalized models are used to assess their heat consumption. However, buildings and their associated substations in the district heating (DH) network of a city have pretty different parameters. Therefore, an error up to 30% is achieved and moreover that type of assessing results into illogical conclusions. To deal with it, the feasibility and validity of the heat demand characteristics should be verified by a handheld thermal camera at the ground level. The primary way is to improve overall DH system efficiency by reducing distribution losses and ensuring correct supply and return temperatures, other ways are related to reduction of heat losses at a demand side.

scholarly journals THE BEHAVIOUR OF HOUSEHOLDS TOWARDS ELECTRICITY CONSUMPTION: A CASE STUDY AT SEREMBAN

2021 ◽  
Vol 19 ◽  
Author(s):  
Saraswathy Kasavan ◽  
Sharif Shofirun Sharif Ali ◽  
Rusinah Siron
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Conservation ◽  
Electricity Consumption ◽  
Improve Energy Efficiency ◽  
Technological Advances ◽  
Term Energy ◽  
The Government

Understanding energy consumption behaviours among households is an effective way to encourage energy conservation and improve energy efficiency. This article examines households’ knowledge, awareness, commitment, attitude, and behaviour towards electricity consumption. The sample of the study consists of 360 urban households in an intermediate city, Seremban. The findings reveal that cost-saving via government initiatives is a crucial factor influencing the households’ energy consumption knowledge. The correlation analysis also revealed that knowledge, awareness, commitment, and attitude correlated significantly with the households’ electricity consumption behaviour. The evidence suggests that the government and power companies implement strict regulations and technological advances to promote energy conservation and improve energy efficiency among households. The findings can better understand where attention should be directed and the measures for long-term energy conservation, climate change mitigation, and sustainable development.

scholarly journals A Small-Sample Adaptive Hybrid Model for Annual Electricity Consumption Forecasting

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Ming Meng ◽  
Yanan Fu ◽  
Huifeng Shi ◽  
Xinfang Wang
Keyword(s):  
Hybrid Model ◽  
Electricity Consumption ◽  
Small Sample ◽  
Small Samples ◽  
Proposed Model ◽  
Starting Point ◽  
Forecasting Performance ◽  
Accelerated Growth ◽  
Artificial Neural Network Ann

Annual electricity consumption forecasting is one of the important foundations of power system planning. Considering that the long-term electricity consumption curves of developing countries usually present approximately exponential growth trends and linear and accelerated growth rate trends may also appear in certain periods, this paper first proposes a small-sample adaptive hybrid model (AHM) to extrapolate the above curves. The iterative trend extrapolation equation of the proposed model can simulate the linear, exponential, and steep trends adaptively at the same time. To estimate the equation parameters using small samples, the partial least squares (PLS) and iteration starting point optimization algorithms are suggested. To evaluate forecasting performance, the artificial neural network (ANN), grey model (GM), and AHM are used to forecast electricity consumption in China from 1991 to 2014, and then the results of these models are compared. Analysis of the forecasting results shows that the AHM can overcome stochastic changes and respond quickly to changes in the main electricity consumption trend because of its specialized equation structure. Overall error analysis indicators also show that AHM often obtains more precise forecasting results than the other two models.

scholarly journals Geohazards Inventory in Central Asia Using the Geohazard Mapping Module of the FAO Collect Earth and Earth Map Tools

2021 ◽  
pp. 93-98
Author(s):  
K Nazarkulov
Keyword(s):  
Central Asia ◽  
Critical Infrastructure ◽  
Good Practice ◽  
Kyrgyz Republic ◽  
Financial Investment ◽  
Starting Point ◽  
Recent Developments ◽  
Cloud Technologies

Different national agencies in Central Asia assess and conduct long-term observations of dangerous geomorphological processes (geohazards) in their countries. However, these surveys are being conducted predominantly on those sites where direct threats and risks to the population or to critical infrastructure are observed. Neither field data acquisition nor regular remote sensing based observations cover the entire territory of Central Asia countries. With the recent developments in Earth Observation and cloud technologies, these observations and monitoring easily cover entire countries or regions. In this case study, the authors demonstrate the benefit of using the FAO Collect Earth and Earth Map tools for monitoring of geohazards in the Uzgen region of Kyrgyzstan.It is argued that by integrating the knowledge, skills and experience of local experts with the latest developments in EO and cloud computing, geohazards mapping will be carried out with high accuracy and without big financial investment. This study aims to outline good practice for data management that will ensure the required quality of information produced within this study. The successful result of this case study will be a starting point for broad use of this approach for observation and monitoring of geohazards, and for developing a Geohazards Inventory in Kyrgyz Republic and further in Central Asia.

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