Author: Methi Laithavewat

Digital Transformation of Virtual Enterprises for Providing Collaborative Services in Smart Cities

Abstract

Municipalities are digitally transforming urban environment into smarter cities aimed at addressing urban growth and social challenges. This transition of urban space influenced by Information and Communications Technology (ICT) enables novel business models and Virtual Enterprises (VE) processes. Presently, there is need to provide insights into the state-of-the-art of VE and development of digital transformation in order to improve services provided to citizens and stakeholders in smart cities. Therefore, the aim of this study is to employ ArchiMate as the modelling language to demonstrate the digitalization of VE to depict how VE collaborates in smart cities. Evidence from a focus group discussion was modelled in ArchiMate to present findings on how VE can be digitalized to provide collaborative services. Implications from this study provide insights to guide VE to understand the imperative need of digital changes in smart cities.


Year: 2020

Authors: Bokolo Anthony Jnr, Sobah Abbas Petersen, and Markus Helfert 

Publisher: IFIP Advances in Information and Communication Technology

A Practice Based Exploration on Electric Mobility as a Service in Smart Cities

Abstract

With increase in urban residents and CO2 emission from vehicles, there is need to deploy smart electric mobility services termed as Electric Mobility as a Service (eMaaS) facilitated by innovations in Information Communication Technology (ICT) to mitigate environmental issues, improve social inclusion, and enhance economic growth. However, citizens and stakeholders are faced with issues related to acquiring appropriate information needed to make decisions which impacts their wellbeing and natural environment due to heterogenous data being generated from various sources. Therefore, this study adopts Enterprise Architecture (EA) and integrates Application Programming Interfaces (APIs) to improve interoperability for acquisition, processing, retaining, and dissemination of mobility relevant data. Secondary data from the literature and ArchiMate modeling tool was utilized to model eMaaS case to verify the feasibility of EA to improve city transport services. Findings from ArchiMate reveal that EA provides a theoretical and practical approach that supports mobility services in smart cities.


Year: 2020

Authors: Bokolo Anthony Jnr & Sobah Abbas Petersen 

Publisher: Lecture Notes in Business Information Processing

Smart city data architecture for energy prosumption in municipalities: concepts, requirements, and future directions

Abstract

Big data is gaining visibility and importance, and its use is attaining higher levels of influence within municipalities. Due to this proliferation smart cities are posed to deploy architectures toward managing energy for Electric Vehicles (EV) and orchestrate the production, consumption, and distributing of energy from renewable sources such as solar, wind etc. in communities also known as prosumption. In smart city domain, Enterprise Architecture (EA) can be employed to facilitate alignment between municipality goals and the direction of the city in relation to Information Technology (IT) that supports stakeholders within the city. Hence, the alignment between IT and goals of the city is a critical process to support the continued growth and improvement of city services and energy sustainability. However, despite several research effort focused on data architecture in smart city, there have been few studies aimed at exploring how EA can be applied in smart cities to support residential buildings and EV for energy prosumption in municipalities. Therefore, this study conducts an extensive review and develops an architecture that can be employed in smart city domain based on big data management for energy prosumption in residential buildings and EV. Furthermore, secondary data was employed to present a case study to show the applications of the developed architecture in promoting energy prosumption. Findings suggest that the architecture provides interoperable open real-time, online, and historical data in facilitating energy prosumption. Respectively, this study offers exchange of data for sharing energy resources and provides insights to improve energy prosumption services.


Year: 2020

Authors: Bokolo Anthony Jnr

Publisher: International Journal of Green Energy

D4.10: Limerick Innovation Lab Solutions Catalogue 2

The deliverable D4.10: Limerick Innovation Lab Solutions Catalogue 2 was submitted by University of Limerick and SE with contributions from NTNU, LCCC, COL, MPOWER, and UL in June 2022. The executive summary of the deliverable is available below and the full deliverable is at the end for download:

“This catalogue is the second of two catalogues documenting Innovation Lab Solutions developed through implementation of the +CityxChange Innovation Playground in Limerick.

The objective of establishing an Innovation Playground in Limerick’s +CityxChange Demonstration Area is to enable collaborations between Limerick City and County Council, energy providers, businesses, academia and citizens to test and prototype innovative ideas to allow a movement towards the co-creation of DPEBs (Distributed Positive Energy Blocks) and PEDs (Positive Energy Districts).

A +CityxChange Innovation Playground is defined as a designated area in a city where activities and physical and virtual places related to innovation are assembled in a systematic way to facilitate collaboration, empower citizens, and find new ways to address challenges that matter to people (Mee & Crowe, 2020). An Innovation Playground comprises a System of ‘places’, ‘activities’, ‘data’ and ‘enabling mechanisms’ – four interrelated elements that generate the ingredients of a Localised Innovation Playground and enable Innovation Playground Journeys of observation, sensemaking, co-design and prototyping.

Implementation of the Innovation Playground in Limerick initially focussed on a series of Do-It-Together workshops and Open Innovation Calls integrated into the calendar of community participation events developed in Task 4.3 Community-led Open Innovation. In this second year, D3.6: Framework for DPEB Innovation Labs (Fitzgerald et. al, 2020) has been incorporated into Innovation Playground (IP) implementation with the objective to cultivate an open innovation ecosystem in Limerick. In addition to creating a physical space for digital innovation– the Citizen Innovation Lab – this framework introduced key open innovation concepts to Innovation Playground implementation. These include collaborative governance of the Innovation Playground; orchestration of the innovation ecosystem through an innovation agenda and a co-created programme of engagement; positive cycles of collaboration; serendipity and network effects.

Through embracing these concepts, linkages between the Innovation Playground and other +Limerick Demonstration Projects increased and the potential for the integrated operation of the six +CityxChange CommunityxChange frameworks to act as a platform for continuing collaboration was observed.

A Citizen Innovation Lab digital platform – https://citizeninnovationlab.ie/ – has been developed as a repository of Innovation Lab Solutions. This repository is also part of this Catalogue, and this document will refer to the platform regularly. The Solutions are presented as Stories of peoples’ interactions with the Citizen Innovation Lab and Innovation Playground to support replication and scaling up of the activities and solutions described. The Stories are also mapped against particular UN SDGs. The specific UN SDGs were identified and prioritised by the people of Limerick during the creation of a Bold City Vision, which in Limerick has been incorporated into the Limerick City and County Council Development Plan process. “

D7.12: Reporting to the SCIS System 6

The deliverable D7.12: Reporting to the SCIS System 6 was submitted by FAC/KPMG FA with contributions from NTNU, LCCC, MPOWER, and 4C in June 2022. The executive summary of the deliverable is available below and the full deliverable is at the end for download:

“This report, Deliverable 7.12: Reporting to the SCIS (6), is part of a series of bi-annual reports and is the sixth iteration in the series; being the subsequent revision of the previous version, Deliverable 7.10: Reporting to the SCIS (5) submitted in Month 30 of the +CityxChange project.

During the reporting period WP7 has seen further engagement between all relevant KPI owners and KPMG FA; towards the refinement of KPI calculations, the resolution of data reporting issues, the pursuit of alignment in KPI data for the purposes of SRT reporting, and the further enhancement of MERT features and functionality – as feedback emerges through use.

As with prior periods, it has become necessary for KPI descriptions, scope and calculations to be reviewed and adjusted as and where necessary – due to changing circumstances in data availability and adapting to challenges encountered in conforming this data to reporting standards on an ongoing basis. This process has been facilitated within WP7, and is ongoing so that all KPIs can be captured and reported to the MERT and/or the SRT as compatible.

The MERT has undergone a number of updates and refinements to front- and back-end processes during the period in an effort to deliver a more efficient and functional dashboard and tool. Work on the MERT has included the adjustment of layout and design to improve the user interface experience, and the further testing of APIs to enable automated data sharing to the MERT.

As of writing of this deliverable, data for 14 KPIs had been submitted to the MERT, with a total of 19 KPIs having monitoring data reported. Proposals on potentially compatible ways to bridge the gap between KPI data headers / data points and SCM SRT have been developed with multiple SRT configuration options proposed to find a suitable and representative data capturing configuration that will be operable.

Within the reporting period, three KPIs were classified as potentially incompatible given their data issues and two KPIs were deemed theoretically compatible should data come on stream. Other KPIs are still subject to review. This collaborative process continues with KPI owners, however, WP7 may consider assessing the overall viability of aligning with SRT reporting in the next reporting period.“

D9.18: Report on attendance at events held by other SCC-01 co-ordinators 7

The deliverable D9.18: Report on attendance at events held by other SCC-01 co-ordinators 7 was submitted by NTNU with contributions from LCCC, TK, MAI, MP, SB, SMO, VORU, and UL in June 2022. The executive summary of the deliverable is available below and the full deliverable is at the end for download:

“+CityxChange actively pursues synergies with other relevant EU platforms and projects, facilitating collaboration and exchanging good practices. This series of reports describes the participation and lessons learned by +CityxChange partners in events organised by other SCC projects, the Board of Coordinators, Scalable Cities, the Smart Cities Marketplace (SCM), the EU Cities Mission, the NetZeroCities Platform, the New European Bauhaus, SET-Plan Action 3.2, the Driving Urban Transitions Partnership, and the EERA Joint Programme Smart Cities, during the seventh six-month period of the project M37-M42.

This report is Deliverable 9.18 of the +CityxChange Task 9.2 on Extra-Project Cooperation through other SCC01 projects and EU platforms, in Work Package 9 “Inter-Project Collaboration and Clustering”. Some general content is repeated from the previous D9.15, especially on longer running collaborations and background information. This report complements Deliverable D9.17 “Report on Intra-Project Collaboration Including Study Visits and Peer to Peer Workshops 7.“

D9.16: +CityxChange storytelling workshops, inviting other LHCs and FCs 3

The deliverable D9.16: +CityxChange storytelling workshops, inviting other LHCs and FCs 3 was submitted by ISOCARP with contributions from NTNU, LCCC, TK, MAI, SB, MP, SMO, VORU, and COL in April 2022. The executive summary of the deliverable is available below and the full deliverable is at the end for download:

” This deliverable describes the approach for the Storytelling workshops and then reports on the virtual storytelling with Sestao (October 2020) and the virtual storytelling with Smolyan during our last consortium meeting (October 2021). Since the outbreak of the Covid-19 pandemic, the storytelling workshops have been organised virtually. This is described in more detail in D9.7 Report on Intra-Project Collaboration, Including Study Visits and Peer to Peer Workshops and following reports.

This deliverable includes detailed outcomes from the virtual Storytelling with Sestao in October 2020 which was initially mentioned in D9.11 CityxChange storytelling workshops, inviting other LHCs and FCs 2 and it adds this year’s virtual Storytelling event that was organised in collaboration with Smolyan. This deliverable intends to integrate the outcomes as much as possible.

These Storytelling workshops are an integral part of the knowledge development and exchange in- and outside the +CityxChange project and are embedded in the Work Package 9 – Intra-Project Collaboration and Clustering. The deliverable is contributing to Task 9.3: Extra-Project Cooperation with existing LHCs and FCs through clustering events run by +CityxChange consortium, focusing on the exchange with other Lighthouse and Follower Cities. Led by ISOCARP Institute, the Storytelling Workshops are jointly organised with the Work Package Lead, NTNU, as well as the +CityxChange cities. To ensure an active exchange with other stakeholders and SCC-01 projects, representatives of the projects are invited to the workshops.

This deliverable is the third of five annual reports on storytelling workshops and the series will report on a total of ten workshops which will be carried out bi-annually over the course of the project. The workshops are organised as part of the yearly consortium meetings and intermediary Learning Workshops. The lead partner together with the coordinator will decide how to restructure Storytelling workshops in 2022.”

The world’s most sustainable data center is now operational at Trondheim !!

Since August 2021, Trondheim Municipality has partnered with Green Edge Compute to develop a sustainable data centre at Sluppen. The construction and installation go as planned, and the new data center will rely on renewable energy and reduce close to 40 percent of energy consumption than traditional data centers. While the municipality continues digital transformation and is developing into a smart city, this new facility can reuse surplus heat to supply it to Statkraft Varme. Moreover, the energy will sell in a local market through a solution Volue developed for Trønderenergi. All that, this will become a very energy-efficient data center. Next step, The new data center is tested and measured by SINTEF with sustainability measurement before the operation to customers. And results will publish at Datasenterdagen Event on June the 15th.

Click here to the news source or this link for more event information. 

D6.3: Technical feasibility study of the potential PEB replications in each FC

The deliverable D6.3: Technical feasibility study of the potential PEB replications in each FC was submitted by Energy Agency of Plovdiv Representatives of Municipality of Alba Iulia, City of Pisek, City of Sestao, Municipality of Smolyan, and City of Voru with contributions from ARUP, NTNU, KPMG, and R2M in April 2022. The executive summary of the deliverable is available below and the full deliverable is at the end for download:

“This report represents the work conducted as part of Task 6.4 “Technical feasibility studies and documentation of potential replication of DPEB solutions”. This aims to operationalise urban development scenarios and couple them with successful smart city solutions through feasibility assessment of pre-defined districts within each Follower City – Alba Iulia (AIM), Pisek (PIS), Sestao (SES), Smolyan (SMO), and Voru (VOR) – and their potential to be showcases of Positive Energy Blocks. The document investigates the existing energy status of the pilot buildings in the Demonstration Areas across the Follower cities which have the best potential to become Positive Energy Blocks. It presents a common report for the prospects for smart city development of each Follower City as well as detailed feasibility study of each potential Positive Energy Block. The document cumulates evidence in favour of the rapid smart city urban development and all administrative, technical, business, financial and social aspects to be taken into account in the process.

The report presents a variety of scenarios for energy consumption and production through different technologies and under various smart city interventions that may alter the energy performance of a potential Positive Energy Block towards positive energy status. It addresses their technical realisation and energy and CO2 impacts and advocates for a holistic view when introducing positive energy blocks, as dedicated urban zones, across the cities. The document also looks into the business interactions and financial applications of such smart city actions and tries to focus on the cost-benefit balance of introducing highly ambitious energy actions to their real-life impact and benefits to all stakeholders. The results of the current investigation have shown that the Positive Energy Block concept applied in reality may be a challenge for the local authorities and needs to be embedded in the broader urban energy planning to have better grounding.

Considering the future steps to be taken for implementation of Positive Energy Blocks in the Follower Cities, a well-orchestrated implementation and financing pipeline needs to be developed and their overall implementation needs to be well-integrated in the urban development strategies and plans. This will ensure the successful realisation and replication of innovative energy solutions and technologies and their positive effect on the quality of life of the local communities.”

D6.1: Established Baseline and DST for each FC

The deliverable D6.1: Established Baseline and DST for each FC was submitted by Integrated Environmental Solutions Research and Development (IESRD) with contributions from MAI, MP, SB, SMO, VÕRU, and EAP in April 2022. The executive summary of the deliverable is available below and the full deliverable is at the end for download:

“This document represents the work completed as part of Task 6.1 ‘Creating the Integrated Baseline Model for the Follower Cities’, and as such the task will apply the Decision Support Tool (DST) developed in WP1 (D1.4: Demonstration of the +CityxChange Integrated Modelling Platform) to the Follower Cities.

The main area of demonstration is concerned with creating the baseline for the current energy and socio economic situation in the Follower Cities Demonstration Districts, Areas and potential PEB buildings. From this baseline, future potential scenarios can now be modelled to begin to guide the cities on the potential of achieving their PEBs and the most suitable approaches to creating a Bold City Vision.

To achieve an effective baseline, data was first gathered concerning the Follower Cities and their Demonstration Districts and potential PEBs. This data was imported into the DST and mapped to the building types and construction categories contained within it. Fuel types, carbon emissions of fuel and tariffs were also set and the baseline for energy demand in the cities were conducted. For the buildings in the potential PEB area, a more detailed energy baseline was formed by accessing certain parameters within IESVE software to increase the accuracy of the models prior to simulation.

Where complete building and energy usage data was available, it was possible to achieve the highly accurate results in terms of the simulations when compared to real life performance. For example, for the potential PEBs in Alba Iulia, Smolyan and Voru, the difference between the simulated baselines and actual energy consumption of the buildings was less than 4%, and in some cases less than 1%. However, a key lesson learned for the baseline simulations was regarding the use of assumed data and its validation. To ensure accuracy for the energy simulations, particularly of potential PEB buildings, it is important that assumptions are validated as much as possible. Efforts were made to reduce the amount of data collection required from the Follower Cities by using already available GIS data, deriving building data from national statistics and agreeing assumptions with cities. However, there were instances where hours of operations or heating set points for buildings were assumed, resulting in unacceptable variances (+-10% compared to actual energy usage) in the simulation results.

In terms of the energy supply baseline, where possible this was completed using a map of the electricity network within the potential PEB which showed the location of substations which was then replicated in the DST.

For the socio economic baseline, where possible, census data was available from each city at the lowest boundary level and added to the DST. It should be noted however, that as the lowest level of data available was much larger than the PEB boundaries, an analysis of the socio economic impacts of PEB creation will be difficult to achieve.

Although the data to baseline mobility was not available, it was confirmed by all cities that, currently, EV charging points are not installed in the Demonstration Districts which means this aspect is baselined at zero.

Following all baselines being completed, proposed energy interventions were produced as part of Task 6.4 Feasibility Studies, and these were reviewed to check how the DST could model these. Overall, it is positive that nearly all interventions can be modelled with little outside resources required.

In order to allow different users to view results and analyse potential future plans, online dashboards were set up and access can be given according to the user’s needs. It needs to be agreed with each Follower City what content should be made public to ensure maximum non-technical stakeholders can be reached.

All Follower Cities have validated the DST results for their respective sites and have undergone initial training to be able to use the online Dashboards for further analysis and engagement amongst stakeholders. In terms of feedback to evaluate the DST from the cities perspective, whilst no formal process has taken place to gather this, anecdotal feedback has been positive, with cities eager to use the software and learn more about how they can use it to help with their future decarbonisation plans.
The next steps regarding the Follower City DSTs have been identified as follows:

● Further engagement and training to the relevant Follower City staff by IES RD is being planned and conducted via support for IES RD and the Online PEB Design Workflow Tool (see D1.4: Demonstration of the +CityxChange Integrated Modelling Platform and Section 2.2.4 in this document for more information). This will enable relevant people in the Follower Cities to run future energy simulations for themselves and to analyse the results.
● T6.2 BCVs – now the baselines are set, the DST for each Follower City can be used to help the city create its Bold City Vision. The DST can be used to replicate PEBs across the areas modelled and also show decarbonisation over time. As well as this, the impact of different measures on socio economic indicators can be modelled.”