Tag Archives: United Kingdom

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Solar Panels on King’s College Chapel Roof

“…The solar panels will populate the gothic chapel roof, producing an approximate 105,000 kWh of energy a year – enough to run the chapel’s electricity, and saving around £20,000 in energy bills per year. The college confirmed that any excess energy would be sold off to the national grid.

King’s College Announcement

Solar Panels on King’s College Chapel Roof

Solar panels perform better when listening to music:

A 2013 study by researchers at Imperial College London and Queen Mary University of London showed that solar panels actually work better when exposed to music, of multiple genres. Scientists at the university proved that when exposed to high pitched sounds, like those found in rock and pop music, the solar cells’ power output increased by up to 40 percent. Classical music was also found to increase the solar cells’ energy production, but slightly less so than rock and pop, as it generally plays at a lower pitch than pop and rock. Whether they know it or not, British band Coldplay are just one of the artists benefitting from this research. During their 2021 tour, they installed solar photovoltaic panels in the build-up to each show, “behind the stage, around the stadium and where possible in the outer concourses”…

BS 7671 Requirements for Electrical Installations

The Major Differences in Electrical Standards Between the U.S. and Europe

Representative Calculation: (WAG)

To determine how much electrical power and lighting 12 kilowatts (kW) will provide for an educational facility, we need to consider the following factors:

    1. Power Distribution: How the 12 kW will be distributed across different electrical needs such as lighting, computers, HVAC (heating, ventilation, and air conditioning), and other equipment.
    2. Lighting Requirements: The specific lighting requirements per square foot or room, which can vary based on the type of facility (classrooms, libraries, laboratories, etc.).
    3. Efficiency of Lighting: The type of lighting used (e.g., LED, fluorescent, incandescent) as this affects the power consumption and lighting output.

We start with lighting.

    1. Lighting Efficiency:
      • LED lights are highly efficient, typically around 100 lumens per watt.
      • Fluorescent lights are less efficient, around 60-70 lumens per watt.
    2. Lighting Power Calculation:
      • 12 kW (12,000 watts) of LED lighting at 100 lumens per watt would provide: 12,000 watts×100 lumens/watt=1,200,000 lumens
    3. Illumination Requirements:
      • Classroom: Approximately 300-500 lux (lumens per square meter).
      • Library or laboratory: Approximately 500-750 lux.
    4. Area Coverage:
      • If we target 500 lux (which is 500 lumens per square meter), we can calculate the area covered by the lighting: (1,200,000 lumens)/ 500 lux=2,400 square meters

Now we need to allocate power to other loads.

    1. Lighting: Assuming 50% of the 12 kW goes to lighting:
      • Lighting Power: 6 kW (6,000 watts)
      • Using the previous calculation: 6,000 watts×100 lumens/watt=600,000 lumens
      • Area Coverage for lighting (at 500 lux): (600,000 lumens)/500 lux=1,200 square meters
    2. Other Electrical Needs:
      • Computers and equipment: Typically, a computer lab might use around 100 watts per computer.
      • HVAC: This can vary widely, but let’s assume 4 kW is allocated for HVAC and other systems.

Breakdown:

    • Lighting: 6 kW
    • Computers/Equipment: 2 kW (e.g., 20 computers at 100 watts each)
    • HVAC and other systems: 4 kW

Summary

    • Lighting: 12 kW can provide efficient LED lighting for approximately 1,200 square meters at 500 lux.
    • General Use: When distributed, 12 kW can cover lighting, a computer lab with 20 computers, and basic HVAC needs for a small to medium-sized educational facility.

The exact capacity will vary based on specific facility needs and equipment efficiency.

 

 

Smart Cities: Wicked Problems

“Oxford from the River with Christ Church in the Foreground” | William Turner (1820)

 

Smart cities: moving beyond urban cybernetics to tackle wicked problems

Cambridge Journal of Regions, Economy and Society, Volume 8, Issue 1, March 2015 | “The Smart City”

 

Abstract. This article makes three related arguments. First, that although many definitions of the smart city have been proposed, corporate promoters say a smart city uses information technology to pursue efficient systems through real-time monitoring and control. Second, this definition is not new and equivalent to the idea of urban cybernetics debated in the 1970s. Third, drawing on a discussion of Rio de Janeiro’s Operations Center, I argue that viewing urban problems as wicked problems allows for more fundamental solutions than urban cybernetics, but requires local innovation and stakeholder participation. Therefore the last section describes institutions for municipal innovation and IT-enabled collaborative planning.

Cambridge Center for Smart Infrastructure & Construction

“No village or individual shall be compelled to make bridges at river banks,

except those who from of old are legally bound to do so.”

— Magna Cara Clause 23 (Limiting forced labor for infrastructure) 

“Clare Hall and King’s College Chapel, Cambridge, from the Banks of the River Cam” / Joseph Mallord William Turner (1793)

 

Smart Infrastructure: Getting More From Strategic Assets

Dr Jennifer Schooling, Director of CSIC

Dr Ajith Parlikad, CSIC Co-Investigator and Senior Lecturer

Mark Enzer, Global Water Sector Leader

Mott MacDonald; Keith Bowers, Principal Tunnel Engineer, London Underground

Ross Dentten, Asset Information and Configuration Manager, Crossrail

Matt Edwards, Asset Maintenance and Information Manager, Anglian Water Services

Jerry England, Group Digital Railway Director, Network Rail

Volker Buscher, Director, Arup Digital

 

Smart Infrastructure is a global opportunity worth £2trn-4.8trn. The world is experiencing a fourth industrial revolution due to the rapid development of technologies and digital abundance.

Smart Infrastructure involves applying this to economic infrastructure for the benefit of all stakeholders. It will allow owners and operators to get more out of what they already have, increasing capacity, efficiency and resilience and improving services.

It brings better performance at lower cost. Gaining more from existing assets is the key to enhancing service provision despite constrained finance and growing resource scarcity. It will often be more cost-effective to add to the overall value of mature infrastructure via digital enhancements than by physical enhancements – physical enhancements add `more of the same’, whereas digital enhancements can transform the existing as well.

Smart Infrastructure will shape a better future. Greater understanding of the performance of our infrastructure will allow new infrastructure to be designed and delivered more efficiently and to provide better whole-life value.

Data is the key – the ownership of it and the ability to understand and act on it. Industry, organisations and professionals need to be ready to adjust in order to take advantage of the emerging opportunities. Early adopters stand to gain the most benefit. Everyone in the infrastructure sector has a choice as to how fast they respond to the changes that Smart Infrastructure will bring. But everyone will be affected.

Change is inevitable. Progress is optional. Now is the time for the infrastructure industry to choose to be Smart.

 

LEARN MORE:

Cambridge Centre for Smart Infrastructure and Construction


Perspective: Since this paper is general in its recommendations, we provide examples of specific campus infrastructure data points that are difficult, if not impossible, to identify and “make smart” — either willfully, for lack of funding, for lack of consensus, for lack of understanding or leadership:

    1. Maintenance of the digital location of fire dampers in legacy buildings or even new buildings mapped with BIM.  Doors and ceiling plenums are continually being modified and the As-Built information is usually not accurate.  This leads to fire hazard and complicates air flow and assuring occupant temperature preferences (i.e. uncontrollable hot and cold spots) 
    2. Ampere readings of feeder breakers downstream from the electric service main.  The power chain between the service substation and the end-use equipment is a “no-man’s land” in research facilities that everyone wants to meter but few ever recover the cost of the additional metering.
    3. Optimal air flow rates in hospitals and commercial kitchens that satisfies both environmental air hazards and compartmentalized air pressure zones for fire safety.
    4. Identification of students, staff and faculty directly affiliated with the campus versus visitors to the campus.
    5. Standpipe pressure variations in municipal water systems
    6. Pinch points in municipal sewer systems in order to avoid building flooding.
    7. How much of university data center cost should be a shared (gateway) cost, and how much should be charged to individual academic and business units?
    8. Should “net-zero” energy buildings be charged for power generated at the university central heating and electric generation plant?
    9. How much staff parking should be allocated to academic faculty versus staff that supports the healthcare delivery enterprises; which in many cases provides more revenue to the university than the academic units?
    10. Finally, a classical conundrum in facility management spreadsheets: Can we distinguish between maintenance cost (which should be covered under an O&M budget) and capital improvement cost (which can be financed by investors)

 

 

History of the English Speaking Peoples

Michigan Central

Since so much of what we do in standards setting is built upon a foundation of a shared understanding and agreement of the meaning of words (no less so than in technical standard setting) that time is well spent reflecting upon the origin of the nouns and verbs of that we use every day.   Best practice cannot be discovered, much less promulgated, without its understanding secured with common language.

Word Counts

2024 Alumni Awards

Cambridge: English language education in the era of generative AI

Evensong “Lullabye (Goodnight, my angel)”

Goodnight my angel, time to close your eyes
And save these questions for another day
I think I know what you’ve been asking me
I think you know what I’ve been trying to say
I promised I would never leave you
Then you should always know
Wherever you may go, no matter where you are
I never will be far away
Goodnight my angel, now it’s time to sleep
And still so many things I want to say
Remember all the songs you sang for me
When we went sailing on an emerald bay
And like a boat out on the ocean
I’m rocking you to sleep
The water’s dark and deep, inside this ancient heart
You’ll always be a part of me
Goodnight my angel, now it’s time to dream
And dream how wonderful your life will be
Someday your child may cry, and if you sing this lullaby
Then in your heart there will always be a part of me
Someday we’ll all be gone
But lullabies go on and on
They never die
That’s how you and I will be

— Billy Joel

Evensong: Lullabye (Goodnight My Angel)

Received Pronunciation

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