A Method to Assess the Economic Feasibility of New Commercial Services in the Smart Grid

As more commercial services are offered and provided on-line, tools to analyse their socio-economic impact are also needed. For instance, new services such as Spotify, Uber and AirBnB have been able to disrupt different sectors because they rely on combining new business models together with information and communication technology (ICT). For (traditional) enterprises, however, launching that kind of services is not always easy since they should consider, among other things, the economic impact of those services. Although tools and techniques based on Enterprise Architecture (EA) help during the design of new services by supporting a holistic process to model business and ICT perspectives, they often lack support to perform economic assessments. This paper presents a method to assess the economic feasibility of new services in the smart grid (SG) that combine business models and ICT. Using multilayer networks and the Smart Grid Architecture Model (SGAM), the method allows to calculate investment decision techniques such as net present value (NPV) and internal rate of return (IRR). Finally, we evaluate our method on two innovative services to locally trade renewable energy.

[1]  Jaap Gordijn,et al.  Business models for distributed generation in a liberalized market environment , 2007 .

[2]  Jaap Gordijn,et al.  Assessing Feasibility of IT-Enabled Networked Value Constellations: A Case Study in the Electricity Sector , 2007, CAiSE.

[3]  G. Luderer,et al.  System LCOE: What are the Costs of Variable Renewables? , 2013 .

[4]  Sofie Verbrugge,et al.  Practical steps in techno-economic evaluation of network deployment planning part 1: Methodology overview , 2008, Networks 2008 - The 13th International Telecommunications Network Strategy and Planning Symposium.

[5]  Till Luhmann,et al.  Regulatory Pathways For Smart Grid Development in China , 2015 .

[6]  Ann Nowé,et al.  SCANERGY: a Scalable and Modular System for Energy Trading Between Prosumers , 2015, AAMAS.

[7]  M. Lankhorst Enterprise Architecture at Work , 2013 .

[8]  Mason A. Porter,et al.  Multilayer networks , 2013, J. Complex Networks.

[9]  Marten van Sinderen,et al.  From enterprise architecture to business models and back , 2014, Software & Systems Modeling.

[10]  Ann Nowé,et al.  NRG-X-Change - A Novel Mechanism for Trading of Renewable Energy in Smart Grids , 2014, SMARTGREENS.

[11]  Levelized Levelized Cost and Levelized Avoided Cost of New Generation Resources in the Annual Energy Outlook 2020 , 2014 .

[12]  Henderik Alex Proper,et al.  Exploring the Application of Multilayer Networks in Enterprise Architecture: A Case Study in the Smart Grid , 2016, 2016 IEEE 18th Conference on Business Informatics (CBI).

[13]  Yamir Moreno,et al.  Dimensionality reduction and spectral properties of multiplex networks , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.

[14]  Maria-Eugenia Iacob,et al.  Quantitative Analysis of Enterprise Architectures , 2006 .

[15]  Nada Golmie,et al.  NIST Framework and Roadmap for Smart Grid Interoperability Standards, Release 3.0 , 2014 .

[16]  Robert L. Nord,et al.  Reducing Friction in Software Development , 2016, IEEE Software.