scholarly journals Business Model Changes in District Heating: The Impact of the Technology Shift from the Third to the Fourth Generation

Energies ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1778 ◽  
Author(s):  
Kristina Lygnerud

This paper addresses the implications on the business model of district heating companies of the technology shift targeting lower temperatures in the distribution network. Lower temperatures are valuable, since heat supply to low-energy buildings with low grid losses is facilitated. In addition, low-temperature heat sources can be integrated into an efficient energy system, improving the environmental performance of the industry. This technology shift opens a window of opportunity to update the business logic in the sector, since the lower temperatures allow a diversification of the value proposed to customers and a closer, long-term customer relationship. The extent to which the business model is impacted by the shift is not known. Thus, six cases of low temperature implementation from five European countries have been identified. Interviews with the project managers of the implementations show that the six cases made limited change to the primary business model when making the technological shift. Consequently, there is an unexplored potential for updating the value proposition and the customer relationship.

Author(s):  
Rodrigo Cueva ◽  
Guillem Rufian ◽  
Maria Gabriela Valdes

The use of Customer Relationship Managers to foster customers loyalty has become one of the most common business strategies in the past years.  However, CRM solutions do not fill the abundance of happily ever-after relationships that business needs, and each client’s perception is different in the buying process.  Therefore, the experience must be precise, in order to extend the loyalty period of a customer as much as possible. One of the economic sectors in which CRM’s have improved this experience is retailing, where the personalized attention to the customer is a key factor.  However, brick and mortar experiences are not enough to be aware in how environmental changes could affect the industry trends in the long term.  A base unified theoretical framework must be taken into consideration, in order to develop an adaptable model for constructing or implementing CRMs into companies. Thanks to this approximation, the information is complemented, and the outcome will increment the quality in any Marketing/Sales initiative. The goal of this article is to explore the different factors grouped by three main domains within the impact of service quality, from a consumer’s perspective, in both on-line and off-line retailing sector.  Secondly, we plan to go a step further and extract base guidelines about previous analysis for designing CRM’s solutions focused on the loyalty of the customers for a specific retailing sector and its product: Sports Running Shoes.


2016 ◽  
Vol 2016 (5) ◽  
pp. 92-112
Author(s):  
Viktoriya Gimadi

The paper analyses the ways how long-term tariff regulation impacts on investment decision in district heating in Russia. Concessions in district heating gave us good chance to analyze impact of tariff regulation on the potential concessionaire decision who is choosing between agreements. The empirical analysis shows that potential concessionaire makes such decisions taking into account specific tariff parameters. The probability of attracting potential investor increases because of indicated volume of rate of return or including energy efficiency indicators; the ratio of operating expenses has negative effect on the probability. The growth rates of total revenue indicated for all years of the planned agreement has no effect on the probability. Potential concessionaire prefers to choose agreements, where the volume of investment commitments is lower, because he is not ready to assume ambitious commitments in the district heating in the current system of regulation.


2016 ◽  
Vol 2016 (5) ◽  
pp. 69-91
Author(s):  
Yuliya Orlova ◽  
Olga Kadreva

The paper investigates the mid-term results of the tariff regulation influence on the amount of capital expenditures in Russian electricity distribution sector. We estimate panel data with the dynamic investment model using system GMM method. We showed that horizon of tariff regulation period is statistically significant and transition from the short-term regulation to the long-term tariff system had positive effect on the amount of regulated companies’ investments. At the same time we found that the design of long-term regulation applied in Russia in 2009–2013 (type of RAB-regulation and long-term indexation) was not statistically significant to the amount of investments. All over all, the amount of investments in electricity distribution networks has similar to European peers explanatory factors. The obtained results are important to the further improvement of regulation in power energy and can be applied in district heating as well.


2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Ricardo Marco Alaez ◽  
Jose M. Alcaraz Calero ◽  
Qi Wang ◽  
Fatna Belqasmi ◽  
May El Barachi ◽  
...  

Fourth-Generation (4G) mobile networks are based on Long-Term Evolution (LTE) technologies and are being deployed worldwide, while research on further evolution towards the Fifth Generation (5G) has been recently initiated. 5G will be featured with advanced network infrastructure sharing capabilities among different operators. Therefore, an open-source implementation of 4G/5G networks with this capability is crucial to enable early research in this area. The main contribution of this paper is the design and implementation of such a 4G/5G open-source testbed to investigate multioperator infrastructure sharing capabilities executed in virtual architectures. The proposed design and implementation enable the virtualization and sharing of some of the components of the LTE architecture. A testbed has been implemented and validated with intensive empirical experiments conducted to validate the suitability of virtualizing LTE components in virtual infrastructures (i.e., infrastructures with multitenancy sharing capabilities). The impact of the proposed technologies can lead to significant saving of both capital and operational costs for mobile telecommunication operators.


2009 ◽  
pp. 702-724
Author(s):  
Colleen Cunningham ◽  
Il-Yeol Song ◽  
Peter P. Chen

CRM is a strategy that integrates concepts of knowledge management, data mining, and data warehousing in order to support an organization’s decision-making process to retain long-term and profitable relationships with its customers. This research is part of a long-term study to examine systematically CRM factors that affect design decisions for CRM data warehouses in order to build a taxonomy of CRM analyses and to determine the impact of those analyses on CRM data warehousing design decisions. This article presents the design implications that CRM poses to data warehousing and then proposes a robust multidimensional starter model that supports CRM analyses. Additional research contributions include the introduction of two new measures, percent success ratio and CRM suitability ratio by which CRM models can be evaluated, the identification of and classification of CRM queries, and a preliminary heuristic for designing data warehouses to support CRM analyses.


2007 ◽  
Vol 46 (4II) ◽  
pp. 499-515
Author(s):  
Adeel Ghayur

Sustainable Development—which ensures that the use of resources and the environment today does not restrict their use by future generations [UNEP (2007)]—is the most significant challenge facing today’s governments. Consequently, the notion of Sustainable Development [Matthews (1979)] has become a fundamental part of any policy and decision carried out at national and international levels. If the current acceleration of human advancement is not reduced it poses the biggest threat to long term sustainability of the entire globe, arising from the development and industrialisation in the twenty-first century, dwarfing the impact of twentieth century. This further compounds the work of policy-makers faced with the challenge of fast tracking the economies of developing countries. Since the Industrial Revolution energy has become the lifeline of economic development and progress. This led to exponential increase in use of fossil fuels. However, rampant, unchecked and accelerated burning of fossil fuels in the twentieth century has resulted disastrous and long term damaging effects to earth’s climate. Consequently, world has begun this century with the aim “to develop a coherent and practical approach to climate change [World Energy Council (2007)].” “Safe, environmentally sound and economically viable energy pathway that will sustain human progress into the distant future is clearly imperative [WCEW (1987)]” to achieve the above goal. As a result environment has become an integral part of any energy system and policy. On the whole today’s energy policies and decisions have to be carefully woven into an intricate web traversing the boundaries of economy, environment and society.


2011 ◽  
pp. 221-231 ◽  
Author(s):  
Jukka Heikkila ◽  
Marikka Heikkila ◽  
Markku Tinnila

Business models have received a substantial amount of interest recently. Also, various research studies have discussed business models, especially in the context of a single company operating in mass markets. Unfortunately, these models often are not applicable for complex products or services that build on long-term knowledge about customer tastes, facilities, and skills. Especially on global markets, the asset specificity and vast geographical distances make it difficult for any single company to provide this kind of service cost-efficiently on a large scale. Instead, it calls for cooperation among multiple firms. Creation of a joint business model for a collaborative network is a necessary means by which companies can coordinate cooperation in practice. The CSOFT metamodel proposed in this chapter provides guidance for joint business model development by emphasizing customer relationship and adjustment processes needed within the network.


2020 ◽  
Vol 10 (16) ◽  
pp. 5543
Author(s):  
Yi Zhang ◽  
He Qi ◽  
Yu Zhou ◽  
Zhonghua Zhang ◽  
Xi Wang

To meet long-term climate change targets, the way that heating and cooling are generated and distributed has to be changed to achieve a supply of affordable, secure and low-carbon energy for all buildings and infrastructures. Among the possible renewable sources of energy, ground source heat pump (GSHP) systems can be an effective low-carbon solution that is compatible with district heating and cooling in urban areas. There are no location restrictions for this technology, and underground energy sources are stable for long-term use. According to a previous study, buildings in urban areas have demonstrated significant spatial heterogeneity in terms of their capacity to demand (C/D) ratio under the application of GSHP due to variations in heating demand and available space. If a spatial sharing strategy can be developed to allow the surplus geothermal capacity to be shared with neighbors, the heating and cooling demands of a greater number of buildings in an area can be satisfied, thus achieving a city with lower carbon emissions. In this study, a GSHP district system model was developed with a specific embedding sharing strategy for the application of GSHP. Two sharing strategies were proposed in this study: (i) Strategy 1 involved individual systems with borehole sharing, and (ii) Strategy 2 was a central district system. Three districts in London were selected to compare the performance of the developed models on the C/D ratio, required borehole number and carbon emissions. According to the comparison analysis, both strategies were able to enhance the GSHP application capacity and increase the savings of carbon emissions. However, the improvement levels were shown to be different. A greater number of building types and a higher variety in building types with larger differentiation in heating and cooling demands can contribute to a better district sharing performance. In addition, it was found that these two sharing strategies were applicable to different kinds of districts.


Energies ◽  
2019 ◽  
Vol 12 (24) ◽  
pp. 4694
Author(s):  
Tina Lidberg ◽  
Thomas Olofsson ◽  
Louise Ödlund

When buildings become more energy effective, the temperature levels of district heating systems need to be lower to decrease the losses from the distribution system and to keep district heating a competitive alternative on the heating market. For this reason, buildings that are refurbished need to be adapted to suit low-temperature district heating. The aim of this paper is to examine whether four different energy refurbishment packages (ERPs) can be used for lowering the temperature need of a multi-family buildings space heating and domestic hot water (DHW) system as well as to analyse the impact of the DHW circulation system on the return temperature. The results show that for all ERPs examined in this study, the space heating supply temperature agreed well with the temperature levels of a low-temperature district heating system. The results show that the temperature need of the DHW system will determine the supply temperature of the district heating system. In addition, the amount of days with heating demand decreases for all ERPs, which further increases the influence of the DHW system on the district heating system. In conclusion, the DHW system needs to be improved to enable the temperature levels of a low-temperature district heating system.


2011 ◽  
pp. 731-752
Author(s):  
Colleen Cunningham ◽  
Il-Yeol Song ◽  
Peter P. Chen

CRM is a strategy that integrates concepts of knowledge management, data mining, and data warehousing in order to support an organization’s decision-making process to retain long-term and profitable relationships with its customers. This research is part of a long-term study to examine systematically CRM factors that affect design decisions for CRM data warehouses in order to build a taxonomy of CRM analyses and to determine the impact of those analyses on CRM data warehousing design decisions. This article presents the design implications that CRM poses to data warehousing and then proposes a robust multidimensional starter model that supports CRM analyses. Additional research contributions include the introduction of two new measures, percent success ratio and CRM suitability ratio by which CRM models can be evaluated, the identification of and classification of CRM queries, and a preliminary heuristic for designing data warehouses to support CRM analyses.


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